Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools. As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.
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If you are looking to build next-generation AI solutions for work or even for your pet projects, you’ll find this cookbook useful. With the help of easy-to-follow recipes, this book will take you through the advanced AI and machine learning approaches and algorithms that are required to build smart models for problem-solving.
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Artificial Intelligence with Python Cookbook. Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6 Artificial Intelligence with Python Cookbook. Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6
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Microsoft Power BI Quick Start Guide, Second Edition gets you up to speed with Power BI quickly, enabling you to derive actionable insights from your data using the data visualization capabilities of Microsoft Power BI within a short span of time.
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Microsoft Power BI Quick Start Guide. Bring your data to life through data modeling, visualization, digital storytelling, and more - Second Edition Microsoft Power BI Quick Start Guide. Bring your data to life through data modeling, visualization, digital storytelling, and more - Second Edition
Devin Knight, Mitchell Pearson, Bradley Schacht, Erin Ostrowsky
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Equipped with the latest updates, this third edition of Python Machine Learning By Example provides a comprehensive course for ML enthusiasts to strengthen their command of ML concepts, techniques, and algorithms.
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Python Machine Learning By Example. Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn - Third Edition Python Machine Learning By Example. Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn - Third Edition
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This book is a comprehensive introduction to building data pipelines, that will have you moving and transforming data in no time. You'll learn how to build data pipelines, transform and clean data, and deliver it to provide value to users. You will learn to deploy production data pipelines that include logging, monitoring, and version control.
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Data Engineering with Python. Work with massive datasets to design data models and automate data pipelines using Python Data Engineering with Python. Work with massive datasets to design data models and automate data pipelines using Python
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This book will give you insights into the technologies that drive the autonomous car revolution. To get started, all you need is basic knowledge of computer vision and Python.
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Hands-On Vision and Behavior for Self-Driving Cars. Explore visual perception, lane detection, and object classification with Python 3 and OpenCV 4 Hands-On Vision and Behavior for Self-Driving Cars. Explore visual perception, lane detection, and object classification with Python 3 and OpenCV 4
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This practical XGBoost guide will put your Python and scikit-learn knowledge to work by showing you how to build powerful, fine-tuned XGBoost models with impressive speed and accuracy. This book will help you to apply XGBoost’s alternative base learners, use unique transformers for model deployment, discover tips from Kaggle masters, and muc
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Hands-On Gradient Boosting with XGBoost and scikit-learn. Perform accessible machine learning and extreme gradient boosting with Python Hands-On Gradient Boosting with XGBoost and scikit-learn. Perform accessible machine learning and extreme gradient boosting with Python
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Deep Reinforcement Learning with Python - Second Edition will help you learn reinforcement learning algorithms, techniques and architectures – including deep reinforcement learning – from scratch. This new edition is an extensive update of the original, reflecting the state-of-the-art latest thinking in reinforcement learning.
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Deep Reinforcement Learning with Python. Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow - Second Edition Deep Reinforcement Learning with Python. Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow - Second Edition
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This book will take you through hand-on recipes for extracting, transforming, and loading data using big data tools and Azure services such as Data Factory and Azure Databricks. You will learn how to interact effectively with Azure services, along with covering automation with BIML and data profiling in Azure.
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ETL with Azure Cookbook. Practical recipes for building modern ETL solutions to load and transform data from any source ETL with Azure Cookbook. Practical recipes for building modern ETL solutions to load and transform data from any source
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This book provides you with a step-by-step introduction to quantum computing using the IBM Quantum Experience platform. You will learn how to build quantum programs on your own, discover early use cases in your business, and help to get you or your company equipped with quantum computing skills.
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Learn Quantum Computing with Python and IBM Quantum Experience. A hands-on introduction to quantum computing and writing your own quantum programs with Python Learn Quantum Computing with Python and IBM Quantum Experience. A hands-on introduction to quantum computing and writing your own quantum programs with Python
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This book will show you how you can leverage your Python skills to learn JavaScript by comparing them at the syntactical and semantical level. You’ll discover why and when to use JavaScript, connect to a Node.js backend to create meaningful experiences, and finally create a full-stack application utilizing all layers of a web application.
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Hands-on JavaScript for Python Developers. Leverage your Python knowledge to quickly learn JavaScript and advance your web development career Hands-on JavaScript for Python Developers. Leverage your Python knowledge to quickly learn JavaScript and advance your web development career
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This book is for beginners who are looking for a strong foundation to build deep learning models from scratch. You will test your understanding of the concepts and measure your progress at the end of each chapter. You will have a firm understanding of deep learning and will be able to identify which algorithms are appropriate for different tasks.
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Deep Learning for Beginners. A beginner's guide to getting up and running with deep learning from scratch using Python Deep Learning for Beginners. A beginner's guide to getting up and running with deep learning from scratch using Python
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Ever wondered what it takes to be an algorithmic trading professional? Look no further, this recipe-based guide will help you uncover various common and not-so-common challenges faced while devising efficient and powerful algo trading strategies. You will implement various Python libraries to conduct key tasks in the algorithmic trading ecosystem.
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Python Algorithmic Trading Cookbook. All the recipes you need to implement your own algorithmic trading strategies in Python Python Algorithmic Trading Cookbook. All the recipes you need to implement your own algorithmic trading strategies in Python
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The Data Science Workshop equips you with the basic skills you need to start working on a variety of data science projects. You’ll work through the essential building blocks of a data science project gradually through the book, and then put all the pieces together to consolidate your knowledge and apply your learnings in the real world.
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The Data Science Workshop. Learn how you can build machine learning models and create your own real-world data science projects - Second Edition The Data Science Workshop. Learn how you can build machine learning models and create your own real-world data science projects - Second Edition
Anthony So, Thomas V. Joseph, Robert Thas John, Andrew Worsley, Dr. Samuel Asare
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With the help of practical examples and engaging activities, The Reinforcement Learning Workshop takes you through reinforcement learning’s core techniques and frameworks. Following a hands-on approach, it allows you to learn reinforcement learning at your own pace to develop your own intelligent applications with ease.
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The Reinforcement Learning Workshop. Learn how to apply cutting-edge reinforcement learning algorithms to a wide range of control problems The Reinforcement Learning Workshop. Learn how to apply cutting-edge reinforcement learning algorithms to a wide range of control problems
Alessandro Palmas, Emanuele Ghelfi, Dr. Alexandra Galina Petre, Mayur Kulkarni, Anand N.S., Quan Nguyen, Aritra Sen, Anthony So, Saikat Basak
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The Statistics and Calculus with Python Workshop is ideal for those who need a refresher in the mathematics that make the practical applications of modern artificial intelligence possible. Starting with foundational mathematical concepts like functions and matrices, the book covers the entire spectrum of calculus and statistics, teaching you the te
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The Statistics and Calculus with Python Workshop. A comprehensive introduction to mathematics in Python for artificial intelligence applications The Statistics and Calculus with Python Workshop. A comprehensive introduction to mathematics in Python for artificial intelligence applications
Peter Farrell, Alvaro Fuentes, Ajinkya Sudhir Kolhe, Quan Nguyen, Alexander Joseph Sarver, Marios Tsatsos
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Starting with the fundamentals of data storage, The Artificial Intelligence Infrastructure Workshop covers the entire spectrum of tools and techniques that you must know to set up a data storage system for AI applications.
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The Artificial Intelligence Infrastructure Workshop. Build your own highly scalable and robust data storage systems that can support a variety of cutting-edge AI applications The Artificial Intelligence Infrastructure Workshop. Build your own highly scalable and robust data storage systems that can support a variety of cutting-edge AI applications
Chinmay Arankalle, Gareth Dwyer, Bas Geerdink, Kunal Gera, Kevin Liao, Anand N.S.
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The Natural Language Processing Workshop takes you through fundamental NLP techniques, such as preparing datasets, collecting text, extracting text, and sentiment analysis. As you progress, you’ll get to grips with creating your own chatbots and dynamic models.
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The Natural Language Processing Workshop. Confidently design and build your own NLP projects with this easy-to-understand practical guide The Natural Language Processing Workshop. Confidently design and build your own NLP projects with this easy-to-understand practical guide
Rohan Chopra, Aniruddha M. Godbole, Nipun Sadvilkar, Muzaffar Bashir Shah, Sohom Ghosh, Dwight Gunning
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This book teaches you the different techniques and methodologies associated while implementing deep learning solutions in self-driving cars. You will use real-world examples to implement various neural network architectures to develop your own autonomous and automated vehicle using the Python environment.
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Applied Deep Learning and Computer Vision for Self-Driving Cars. Build autonomous vehicles using deep neural networks and behavior-cloning techniques Applied Deep Learning and Computer Vision for Self-Driving Cars. Build autonomous vehicles using deep neural networks and behavior-cloning techniques
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Python has a number of powerful packages to help anyone tackle complex mathematical problems in a simple and efficient way. This practical guide explains how to model real-world problems as mathematical objects in Python and how to perform computations, and interpret results. It explores Python lang to solve a variety of math and statistics problem
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Applying Math with Python. Practical recipes for solving computational math problems using Python programming and its libraries Applying Math with Python. Practical recipes for solving computational math problems using Python programming and its libraries
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In today’s era of AI, accurately interpreting and communicating trustworthy, fair, and secure AI findings have become a crucial skill to master. This book bridges the gap between AI’s pitfalls and potential by helping you build the ability to leverage machine learning with Python to visualize and integrate AI.
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Hands-On Explainable AI (XAI) with Python. Interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps Hands-On Explainable AI (XAI) with Python. Interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps
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This thoroughly revised and expanded second edition demonstrates on over 800 pages how machine learning can add value to algorithmic trading in a practical yet comprehensive way. It has four parts that cover how to work with a diverse set of market, fundamental, and alternative data sources, design ML solutions for real-world trading challenges, an
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Machine Learning for Algorithmic Trading. Predictive models to extract signals from market and alternative data for systematic trading strategies with Python - Second Edition Machine Learning for Algorithmic Trading. Predictive models to extract signals from market and alternative data for systematic trading strategies with Python - Second Edition
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Python is a great language that can power your applications with great speed, safety, and scalability. We cover 133 Python recipes. This book simplifies Python for everybody, right from beginners to experts. All recipes take a problem-solution approach to resolve issues commonly faced by Python programmers across the globe.
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Modern Python Cookbook. 133 recipes to develop flawless and expressive programs in Python 3.8 - Second Edition Modern Python Cookbook. 133 recipes to develop flawless and expressive programs in Python 3.8 - Second Edition
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With The Deep Learning Workshop, you’ll learn about essential deep learning concepts, such as image recognition, text embedding, and neural networks, all so that you can build your own smart machine learning models. You'll be able to learn at your own pace with the help of interesting activities and hands-on exercises that will keep you hook
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The Deep Learning Workshop. Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras The Deep Learning Workshop. Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras
Mirza Rahim Baig, Thomas V. Joseph, Nipun Sadvilkar, Mohan Kumar Silaparasetty, Anthony So
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The Applied TensorFlow and Keras Workshop provides you with a blueprint to build an application that generates predictions using a deep learning model. You’ll learn to apply techniques to improve the model: add more data and features, change its architecture, or create a new model by changing the core components to meet your own requirements
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The Applied TensorFlow and Keras Workshop. Develop your practical skills by working through a real-world project and build your own Bitcoin price prediction tracker The Applied TensorFlow and Keras Workshop. Develop your practical skills by working through a real-world project and build your own Bitcoin price prediction tracker
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The Data Analysis Workshop is a comprehensive guide that shows you how to analyze your data and gain insights into your business. Starting with the basics of data analysis, including data visualization and exploratory data analysis, this book takes you through the complete spectrum of techniques, such as time series analysis and categorical data an
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The Data Analysis Workshop. Solve business problems with state-of-the-art data analysis models, developing expert data analysis skills along the way The Data Analysis Workshop. Solve business problems with state-of-the-art data analysis models, developing expert data analysis skills along the way
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Data is the new oil, but it’s often in a crude form. To perform anything meaningful, such as data modeling, data visualization, or predictive analysis, you first need to wrangle with and refine data. The Data Wrangling Workshop equips you with the knowledge you need to get up and running with data wrangling in no time.
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The Data Wrangling Workshop. Create your own actionable insights using data from multiple raw sources - Second Edition The Data Wrangling Workshop. Create your own actionable insights using data from multiple raw sources - Second Edition
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The Deep Learning with Keras Workshop outlines a simple and straightforward way for you to understand deep learning with Keras. Starting with basic concepts such as data preprocessing, this book equips you with all the tools and techniques required for training your neural networks to solve various modeling problems.
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The Deep Learning with Keras Workshop. Learn how to define and train neural network models with just a few lines of code The Deep Learning with Keras Workshop. Learn how to define and train neural network models with just a few lines of code
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With the help of engaging practical activities, The Unsupervised Learning Workshop teaches you how to apply unsupervised machine learning algorithms on enormous, cluttered datasets. You’ll learn the best techniques and approaches and work on real-time datasets with this hands-on guide for beginners.
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The Unsupervised Learning Workshop. Get started with unsupervised learning algorithms and simplify your unorganized data to help make future predictions The Unsupervised Learning Workshop. Get started with unsupervised learning algorithms and simplify your unorganized data to help make future predictions
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The Data Visualization Workshop will help you get started with data visualization, giving you the confidence to choose the best visualization technique to suit your needs. Fun activities and exercises featured throughout the book will keep you engaged as you build interactive visualizations with real data.
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The Data Visualization Workshop. A self-paced, practical approach to transforming your complex data into compelling, captivating graphics The Data Visualization Workshop. A self-paced, practical approach to transforming your complex data into compelling, captivating graphics
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The Applied AI and NLP Workshop will show you how to integrate artificial intelligence with Amazon Web Services to create intelligent applications. From developing language translation apps and chatbots to creating models for processing large volumes of images, you’ll learn key concepts effectively and in a real-world context.
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The Applied AI and Natural Language Processing Workshop. Explore practical ways to transform your simple projects into powerful intelligent applications The Applied AI and Natural Language Processing Workshop. Explore practical ways to transform your simple projects into powerful intelligent applications
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With The Computer Vision Workshop, you’ll explore the basic and advanced techniques in video and image processing using OpenCV and Python. It is filled with real-world exercises and activities that will make the learning process easy and enjoyable.
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The Computer Vision Workshop. Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects The Computer Vision Workshop. Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects
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This book covers the theory and practice of building data-driven solutions. Includes the end-to-end process, using supervised and unsupervised algorithms. With each algorithm, you will learn the data acquisition and data engineering methods, the apt metrics, and the available hyper-parameters. You will learn how to deploy the models in production.
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Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits. A practical guide to implementing supervised and unsupervised machine learning algorithms in Python Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits. A practical guide to implementing supervised and unsupervised machine learning algorithms in Python
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The Applied Artificial Intelligence Workshop teaches you the ins and outs of machine learning and neural networks from the ground up, using real-world examples. You'll learn to develop AI and ML models using Python, starting with using the minmax algorithm and alpha-beta pruning to create your first game, and ending with classifying images using ne
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The Applied Artificial Intelligence Workshop. Start working with AI today, to build games, design decision trees, and train your own machine learning models The Applied Artificial Intelligence Workshop. Start working with AI today, to build games, design decision trees, and train your own machine learning models
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The Applied Data Science Workshop explores the key elements and interesting applications of data science techniques with the help of practical examples and interactive exercises. Following a hands-on approach, it allows you the freedom of analyzing data in the Jupyter Notebook effectively using many diverse open-source Python libraries.??
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The Applied Data Science Workshop. Get started with the applications of data science and techniques to explore and assess data effectively - Second Edition The Applied Data Science Workshop. Get started with the applications of data science and techniques to explore and assess data effectively - Second Edition
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With this hands-on, self-paced guide, you'll explore crucial deep learning topics and discover the structure and syntax of PyTorch. Challenging activities and interactive exercises will keep you motivated and encourage you to build intelligent applications effectively.
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The Deep Learning with PyTorch Workshop. Build deep neural networks and artificial intelligence applications with PyTorch The Deep Learning with PyTorch Workshop. Build deep neural networks and artificial intelligence applications with PyTorch
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With expert guidance and real-world examples, The Machine Learning Workshop gets you up and running with programming machine learning algorithms. By showing you how to leverage scikit-learn's flexibility, it teaches you all the skills you need to use machine learning to solve real-world problems.
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The Machine Learning Workshop. Get ready to develop your own high-performance machine learning algorithms with scikit-learn - Second Edition The Machine Learning Workshop. Get ready to develop your own high-performance machine learning algorithms with scikit-learn - Second Edition
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Developers working with the simulation models will be able to put their knowledge to work with this practical guide. You will work with real-world data to uncover various patterns used in complex systems using Python. The book provides a hands-on approach to implementation and associated methodologies to improve or optimize systems.
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Hands-On Simulation Modeling with Python. Develop simulation models to get accurate results and enhance decision-making processes Hands-On Simulation Modeling with Python. Develop simulation models to get accurate results and enhance decision-making processes
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Hands-On Artificial Intelligence for Banking is a must-have guide for AI developers and machine learning experts looking to build intelligent finance-based applications. This guide will give its readers a complete overview of the global banking business with the help of interesting use-cases, and their implementation using popular Python libraries.
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Hands-On Artificial Intelligence for Banking. A practical guide to building intelligent financial applications using machine learning techniques Hands-On Artificial Intelligence for Banking. A practical guide to building intelligent financial applications using machine learning techniques
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Developers working with NLP will be able to put their knowledge to work with this practical guide to PyTorch. You will learn to use PyTorch offerings and how to understand and analyze text using Python. You will learn to extract the underlying meaning in the text using deep neural networks and modern deep learning algorithms.
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Hands-On Natural Language Processing with PyTorch 1.x. Build smart, AI-driven linguistic applications using deep learning and NLP techniques Hands-On Natural Language Processing with PyTorch 1.x. Build smart, AI-driven linguistic applications using deep learning and NLP techniques
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You will learn the basics of hardware and software required for image processing and computer vision with Raspberry Pi and Python 3. You will have a look at all the major image processing, manipulation, and computer vision techniques and algorithms in detail using engaging examples. You will build a lot of real-life computer vision applications.
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Raspberry Pi Computer Vision Programming. Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3 - Second Edition Raspberry Pi Computer Vision Programming. Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3 - Second Edition
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This book provides a blend of both the theoretical and practical aspects of Natural Language Processing (NLP). It covers the concepts essential to develop a thorough understanding of NLP and also delves into a detailed discussion on NLP based use-cases such as language translation, sentiment analysis, etc. Every module covers real-world examples
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Hands-On Python Natural Language Processing. Explore tools and techniques to analyze and process text with a view to building real-world NLP applications Hands-On Python Natural Language Processing. Explore tools and techniques to analyze and process text with a view to building real-world NLP applications
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The book will take you on a journey through the evolution of data analysis explaining each step in the process in a very simple and easy to understand manner. You will learn how to use various Python libraries to work with data. Learn how to sift through the many different types of data, clean it, and analyze it to gain useful insights.
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Practical Data Analysis Using Jupyter Notebook. Learn how to speak the language of data by extracting useful and actionable insights using Python Practical Data Analysis Using Jupyter Notebook. Learn how to speak the language of data by extracting useful and actionable insights using Python
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Algorithms play an important role in both the science and practice of computing. To optimally use algorithms, a deeper understanding of their logic and mathematics is essential. Beyond traditional computing, the ability to apply these algorithms to solve real-world problems is a necessary skill, and this is what this book focuses on.
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40 Algorithms Every Programmer Should Know. Hone your problem-solving skills by learning different algorithms and their implementation in Python 40 Algorithms Every Programmer Should Know. Hone your problem-solving skills by learning different algorithms and their implementation in Python
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The main aim of this book is to make the advanced mathematical background accessible to someone with a programming background. This book will equip the readers with not only deep learning architectures but the mathematics behind them. With this book, you will understand the relevant mathematics that goes behind building deep learning models.
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Hands-On Mathematics for Deep Learning. Build a solid mathematical foundation for training efficient deep neural networks Hands-On Mathematics for Deep Learning. Build a solid mathematical foundation for training efficient deep neural networks
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Blender 2.8 By Example is improved and updated to cover the latest Blender 2.8 version and important features like the new EEVEE rendering and Grease Pencil. Starting from brushing up your basics, the book delves into important key tasks like baking, painting, sculpting, and unwrapping to create amazing Blender projects.
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Blender 3D By Example. A project-based guide to learning the latest Blender 3D, EEVEE rendering engine, and Grease Pencil - Second Edition Blender 3D By Example. A project-based guide to learning the latest Blender 3D, EEVEE rendering engine, and Grease Pencil - Second Edition
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This updated edition includes 75 recipes, covering the entire spectrum of skills you need to have for enterprise process automation. The book also features three new chapters that focus on using Python for automating testing routines, machine learning projects, and working with complex data and data science.
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Python Automation Cookbook. 75 Python automation recipes for web scraping; data wrangling; and Excel, report, and email processing - Second Edition Python Automation Cookbook. 75 Python automation recipes for web scraping; data wrangling; and Excel, report, and email processing - Second Edition
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Metasploit is one of the best frameworks used for enumeration and exploitation of vulnerabilities. This book will not only give you a practical understanding of Metasploit but will also cover some less known modules and auxiliaries for pentesting Web Applications.
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Hands-On Web Penetration Testing with Metasploit. The subtle art of using Metasploit 5.0 for web application exploitation Hands-On Web Penetration Testing with Metasploit. The subtle art of using Metasploit 5.0 for web application exploitation
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This book will help you successfully implement deep learning in Python to create smart web applications from scratch. You will learn how deep learning can transform a simple web app into a smart, business-friendly product. You will also develop neural networks using open-source libraries and also integrate them with different web stack front-ends.
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Hands-On Python Deep Learning for the Web. Integrating neural network architectures to build smart web apps with Flask, Django, and TensorFlow Hands-On Python Deep Learning for the Web. Integrating neural network architectures to build smart web apps with Flask, Django, and TensorFlow
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You will learn the principles of computer vision and deep learning, and understand various models and architectures with their pros and cons. You will learn how to use TensorFlow 2.x to build your own neural network model and apply it to various computer vision tasks such as image acquiring, processing, and analyzing.
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Mastering Computer Vision with TensorFlow 2.x. Build advanced computer vision applications using machine learning and deep learning techniques Mastering Computer Vision with TensorFlow 2.x. Build advanced computer vision applications using machine learning and deep learning techniques
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MicroPython Projects is a project-based guide that provides you with a wide range of projects along the lines of electronic applications, Android Applications, GPS, automation devices, and so on. With this pragmatic approach, you will be confident enough to design complex projects on MicroPython spanning altogether njava script:void(4)ew areas of
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MicroPython Projects. A do-it-yourself guide for embedded developers to build a range of applications using Python MicroPython Projects. A do-it-yourself guide for embedded developers to build a range of applications using Python
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This book includes over 100 actionable recipes to use Ansible and automate network devices from different vendors and build networking solutions across cloud providers like AWS, GCP, and Azure. You’ll be able to effectively manage your network infrastructure in various environments using Ansible – be it a data center or a service prov
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Network Automation Cookbook. Proven and actionable recipes to automate and manage network devices using Ansible Network Automation Cookbook. Proven and actionable recipes to automate and manage network devices using Ansible
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Advancements in wireless devices and mobile technology have enabled the acquisition of a tremendous amount of graphics, pictures, and videos. Through cutting edge recipes, this book provides coverage on tools, algorithms, and analysis for image processing. This book provides solutions addressing the challenges and complex tasks of image processing.
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Python Image Processing Cookbook. Over 60 recipes to help you perform complex image processing and computer vision tasks with ease Python Image Processing Cookbook. Over 60 recipes to help you perform complex image processing and computer vision tasks with ease
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Interactive Data Visualization with Python sharpens your data exploration skills, tells you everything there is to know about interactive data visualization in Python, and most importantly, helps you make your storytelling more intuitive and persuasive.
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Interactive Data Visualization with Python. Present your data as an effective and compelling story - Second Edition Interactive Data Visualization with Python. Present your data as an effective and compelling story - Second Edition
Abha Belorkar, Sharath Chandra Guntuku, Shubhangi Hora, Anshu Kumar
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This book is a step by step guide to one-shot learning using Python-based libraries. It is designed to help you understand and design models that can learn information about your data from one, or only a few, training examples. You will also learn to apply these techniques with real-world examples and datasets for classification and regression.
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Hands-On One-shot Learning with Python. Learn to implement fast and accurate deep learning models with fewer training samples using PyTorch Hands-On One-shot Learning with Python. Learn to implement fast and accurate deep learning models with fewer training samples using PyTorch
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Deep learning is rapidly becoming the most popular topic in the industry. This book introduces trending deep learning concepts and their use cases with an industrial and application-focused approach. You will cover a range of projects covering tasks such as mobile vision, facial recognition, smart AI assistant, augmented reality, and more.
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Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter. Build scalable real-world projects to implement end-to-end neural networks on Android and iOS Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter. Build scalable real-world projects to implement end-to-end neural networks on Android and iOS
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Django 3 By Example, Third Edition, explores key Django features and best practices that every Python web developer should be aware of. This third edition is fully updated for Django 3 and a new chapter on Django Channels for real-time features has been added. Much more than just a reference guide, this book shows you how Django works in the real w
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Django 3 By Example. Build powerful and reliable Python web applications from scratch - Third Edition Django 3 By Example. Build powerful and reliable Python web applications from scratch - Third Edition
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A first-hand look into how quantum computing and Blockchain together are redefining industries, including fintech, healthcare, and research. Through a series of interviews with domain experts, Arun also explores the potential of these technologies to transform national and global governance and policies.
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Quantum Computing and Blockchain in Business. Exploring the applications, challenges, and collision of quantum computing and blockchain Quantum Computing and Blockchain in Business. Exploring the applications, challenges, and collision of quantum computing and blockchain
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This book provides practical knowledge about the main pillars of EDA including data cleaning, data preparation, data exploration, and data visualization. You can leverage the power of Python to understand, summarize and investigate your data in the best way possible. The book presents a unique approach to exploring hidden features in your data.
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Hands-On Exploratory Data Analysis with Python. Perform EDA techniques to understand, summarize, and investigate your data Hands-On Exploratory Data Analysis with Python. Perform EDA techniques to understand, summarize, and investigate your data
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This recipe-based guide is intended to solve common problems in building web apps with Django 3 and Python. Starting from setting up your environment, you will come across actionable solutions for common tasks like building models, forms, views, data management, through to testing, deploying, and securing your web apps.
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Django 3 Web Development Cookbook. Actionable solutions to common problems in Python web development - Fourth Edition Django 3 Web Development Cookbook. Actionable solutions to common problems in Python web development - Fourth Edition
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OpenCV 4 with Python Blueprints demonstrates how to develop a series of intermediate to advanced projects using OpenCV and Python, rather than teaching the core concepts of OpenCV in theoretical lessons. and allow you to understand the foundations and approaches used in modern computer vision.
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OpenCV 4 with Python Blueprints. Build creative computer vision projects with the latest version of OpenCV 4 and Python 3 - Second Edition OpenCV 4 with Python Blueprints. Build creative computer vision projects with the latest version of OpenCV 4 and Python 3 - Second Edition
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A second edition of the bestselling guide to exploring and mastering deep learning with Keras, updated to include TensorFlow 2.x with new chapters on object detection, semantic segmentation, and unsupervised learning using mutual information.
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Advanced Deep Learning with TensorFlow 2 and Keras. Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more - Second Edition Advanced Deep Learning with TensorFlow 2 and Keras. Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more - Second Edition
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Artificial Intelligence (AI) gets your system to think smart and learn intelligently. This book is packed with some of the smartest trending examples with which you will learn the fundamentals of AI. By the end, you will have acquired the basics of AI by practically applying the examples in this book.
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Artificial Intelligence By Example. Acquire advanced AI, machine learning, and deep learning design skills - Second Edition Artificial Intelligence By Example. Acquire advanced AI, machine learning, and deep learning design skills - Second Edition
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Taking an engaging and practical approach, The Supervised Learning Workshop teaches you how to predict the output of new data, based on the relationship and behavior of?existing datasets. You’ll learn at your own pace and use Python libraries and Jupyter to build intelligent predictive models.?
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The Supervised Learning Workshop. Predict outcomes from data by building your own powerful predictive models with machine learning in Python - Second Edition The Supervised Learning Workshop. Predict outcomes from data by building your own powerful predictive models with machine learning in Python - Second Edition
Blaine Bateman, Ashish Ranjan Jha, Benjamin Johnston, Ishita Mathur
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Now in its third edition, this is the original book on OpenCV’s Python bindings. Readers will learn a great range of techniques and algorithms, from the classics to the state-of-the-art, and from geometry to machine learning. All of this is in aid of solving practical computer vision problems in well-built applications.
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Learning OpenCV 4 Computer Vision with Python 3. Get to grips with tools, techniques, and algorithms for computer vision and machine learning - Third Edition Learning OpenCV 4 Computer Vision with Python 3. Get to grips with tools, techniques, and algorithms for computer vision and machine learning - Third Edition
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Completely updated and revised edition of the bestselling guide to artificial intelligence, updated to Python 3.8, with seven new chapters that cover RNNs, AI and Big Data, fundamental use cases, machine learning data pipelines, chatbots, Big Data, and more.
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Artificial Intelligence with Python. Your complete guide to building intelligent apps using Python 3.x - Second Edition Artificial Intelligence with Python. Your complete guide to building intelligent apps using Python 3.x - Second Edition
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With six new chapters, Deep Reinforcement Learning Hands-On Second edition is completely updated and expanded with the very latest reinforcement learning (RL) tools and techniques, providing you with an introduction to RL, as well as the hands-on ability to code intelligent learning agents to perform a range of practical tasks.
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Deep Reinforcement Learning Hands-On. Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more - Second Edition Deep Reinforcement Learning Hands-On. Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more - Second Edition
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Using this book, you will gain expertise in genetic algorithms, understand how they work and know when and how to use them to create intelligent Python-based applications. By the end of this book, you will have hands-on experience applying genetic algorithms to artificial intelligence as well as numerous other domains.
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Hands-On Genetic Algorithms with Python. Applying genetic algorithms to solve real-world deep learning and artificial intelligence problems Hands-On Genetic Algorithms with Python. Applying genetic algorithms to solve real-world deep learning and artificial intelligence problems
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The place of machine learning in art is growing at a rapid pace because of recent advancements in the field. Magenta is at the forefront of that innovation. This book provides a hands-on approach to machine learning models for music generation and demonstrates how to integrate them into an existing music production workflow. Complete with practical
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Hands-On Music Generation with Magenta. Explore the role of deep learning in music generation and assisted music composition Hands-On Music Generation with Magenta. Explore the role of deep learning in music generation and assisted music composition
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A new second edition of the bestselling guide to exploring and mastering the most important algorithms for solving complex machine learning problems, updated to include Python 3.8 and TensorFlow 2.x as well as the latest in new algorithms and techniques.
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Mastering Machine Learning Algorithms. Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work - Second Edition Mastering Machine Learning Algorithms. Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work - Second Edition
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Python is becoming the number one language for data science and also quantitative finance. This book provides you with solutions to common tasks from the intersection of quantitative finance and data science, using modern Python libraries.
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Python for Finance Cookbook. Over 50 recipes for applying modern Python libraries to financial data analysis Python for Finance Cookbook. Over 50 recipes for applying modern Python libraries to financial data analysis
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This new edition is completely revised and updated to work with Python 3. In addition to new chapters on network data analysis with ELK stack (Elasticsearch, Logstash, Kibana, and Beats) and Azure Cloud Networking, it also includes updates on using newer libraries such as pyATS, Genie, and Nornir, as well as Ansible 2.8.
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Mastering Python Networking. Your one-stop solution to using Python for network automation, programmability, and DevOps - Third Edition Mastering Python Networking. Your one-stop solution to using Python for network automation, programmability, and DevOps - Third Edition
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An understanding of how digital forensics integrates with the overall response to cybersecurity incidents is a must for all organizations. This book offers concrete and detailed guidance on how to conduct the full spectrum of incident response and digital forensic activities.
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Digital Forensics and Incident Response. Incident response techniques and procedures to respond to modern cyber threats - Second Edition Digital Forensics and Incident Response. Incident response techniques and procedures to respond to modern cyber threats - Second Edition
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Cut through the noise and get real results with a step-by-step approach to data science
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The Data Science Workshop. A New, Interactive Approach to Learning Data Science The Data Science Workshop. A New, Interactive Approach to Learning Data Science
Anthony So, Thomas V. Joseph, Robert Thas John, Andrew Worsley, Dr. Samuel Asare
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Feature engineering is invaluable for developing and enriching your machine learning models. In this book, you will work with the best Python tools to streamline your feature engineering pipelines, feature engineering techniques and simplify and improve the quality of your code.
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Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models
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With new technology threats, rising international tensions, and state-sponsored cyber attacks, cybersecurity is more important than ever. Featuring contributions from cybersecurity CEOs, military generals, and industry leaders, Cyber Minds acts as a strategic briefing on cybersecurity and data safety.
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Cyber Minds. Insights on cybersecurity across the cloud, data, artificial intelligence, blockchain, and IoT to keep you cyber safe Cyber Minds. Insights on cybersecurity across the cloud, data, artificial intelligence, blockchain, and IoT to keep you cyber safe
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The AI revolution is here and it is embracing games. Game developers are being challenged to enlist cutting edge AI as part of their games. In this book, you will look at the journey of building capable AI using reinforcement learning algorithms and techniques. You will learn to solve complex tasks and build next-generation games using a practical
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Hands-On Reinforcement Learning for Games. Implementing self-learning agents in games using artificial intelligence techniques Hands-On Reinforcement Learning for Games. Implementing self-learning agents in games using artificial intelligence techniques
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Cybersecurity – Attack and Defense Strategies, Second Edition is a completely revised new edition of the bestselling book that covers the very latest security threats and defense strategies, updated for 2020.
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Cybersecurity - Attack and Defense Strategies. Counter modern threats and employ state-of-the-art tools and techniques to protect your organization against cybercriminals - Second Edition Cybersecurity - Attack and Defense Strategies. Counter modern threats and employ state-of-the-art tools and techniques to protect your organization against cybercriminals - Second Edition
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Deep Learning with TensorFlow 2 and Keras, Second Edition teaches deep learning techniques alongside TensorFlow (TF) and Keras. The book introduces neural networks with TensorFlow, runs through the main applications, covers two working example apps, and then dives into TF and cloudin production, TF mobile, and using TensorFlow with AutoML.
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Deep Learning with TensorFlow 2 and Keras. Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API - Second Edition Deep Learning with TensorFlow 2 and Keras. Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API - Second Edition
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This book will help you to apply popular neuroevolution strategies to existing neural network designs to improve their performance. It covers practical examples in areas such as games, robotics, and simulation of natural processes, using real-world examples and data sets for your better understanding.
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Hands-On Neuroevolution with Python. Build high-performing artificial neural network architectures using neuroevolution-based algorithms Hands-On Neuroevolution with Python. Build high-performing artificial neural network architectures using neuroevolution-based algorithms
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This book is an expert-level guide to master the neural network variants using the Python ecosystem. You will gain the skills to build smarter, faster, and efficient deep learning systems with practical examples. By the end of this book, you will be up to date with the latest advances and current researches in the deep learning domain.
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Advanced Deep Learning with Python. Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch Advanced Deep Learning with Python. Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch
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This book will help you understand how GANs architecture works using PyTorch. You will get familiar with the most flexible deep learning toolkit and use it to transform ideas into actual working codes. You will apply GAN models to areas like computer vision, multimedia and natural language processing using a sample-generation perspective.
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Hands-On Generative Adversarial Networks with PyTorch 1.x. Implement next-generation neural networks to build powerful GAN models using Python Hands-On Generative Adversarial Networks with PyTorch 1.x. Implement next-generation neural networks to build powerful GAN models using Python
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This third edition is updated with TensorFlow 2 and the latest additions to scikit-learn. Packed with clear explanations, visualizations, and working examples, the book covers essential machine learning techniques in depth, along with two cutting-edge machine learning techniques: reinforcement learning and generative adversarial networks.
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Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2 - Third Edition Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2 - Third Edition
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Hands-On Machine Learning with TensorFlow.js is a comprehensive guide that will help you easily get started with machine learning algorithms and techniques using TensorFlow.js. By the end of this book, you will be able to create and optimize your own web-based machine learning applications using practical examples.
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Hands-On Machine Learning with TensorFlow.js. A guide to building ML applications integrated with web technology using the TensorFlow.js library Hands-On Machine Learning with TensorFlow.js. A guide to building ML applications integrated with web technology using the TensorFlow.js library
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This book helps data scientists and cybersecurity experts on implementing the latest AI techniques in cybersecurity. Concrete and clear steps for implementing ML security systems are provided, saving you months in research and development. By the end of this book, you will be able to build defensive systems to curb cybersecurity threats.
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Machine Learning for Cybersecurity Cookbook. Over 80 recipes on how to implement machine learning algorithms for building security systems using Python Machine Learning for Cybersecurity Cookbook. Over 80 recipes on how to implement machine learning algorithms for building security systems using Python
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Microservices architecture helps create a complex system that can be maintained by independent teams working in parallel. You’ll learn how to structure big systems, encapsulate them using Docker, and deploy them using Kubernetes. By the end of this book, you’ll know how to design, deploy and operate a complex system with multiple micr
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Hands-On Docker for Microservices with Python. Design, deploy, and operate a complex system with multiple microservices using Docker and Kubernetes Hands-On Docker for Microservices with Python. Design, deploy, and operate a complex system with multiple microservices using Docker and Kubernetes
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This book teaches you all that’s needed to build a fully functional web application from scratch. You'll learn all the necessary tools and modules that are required in the process. Beginning with the basics of RESTful API, you'll complete the book by building and deploying an industry-grade web application.
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Python API Development Fundamentals. Develop a full-stack web application with Python and Flask Python API Development Fundamentals. Develop a full-stack web application with Python and Flask
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More than just a Python guide for beginners, The Python Workshop takes you through the full spectrum of basic to advanced topics, equipping you with the skills you need to get started with data science and more. Filled with practical step-by-step examples and interactive exercises, you'll learn by doing as you grow your new Python skillset.
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The Python Workshop. Learn to code in Python and kickstart your career in software development or data science The Python Workshop. Learn to code in Python and kickstart your career in software development or data science
Andrew Bird, Dr. Lau Cher Han, Mario Corchero Jiménez, Graham Lee, Corey Wade
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Odoo is a comprehensive set of open-source enterprise management applications. With, you will have access to a powerful website builder, integrated e-commerce features, and a fast growing community to help transform and modernize your business. This book will take you the essential features of Odoo and how you can make the best use of them.
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Learn Odoo. A beginner's guide to designing, configuring, and customizing business applications with Odoo Learn Odoo. A beginner's guide to designing, configuring, and customizing business applications with Odoo
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This book presents practical solutions to the most common reinforcement learning problems. The recipes in this book will help you understand the fundamental concepts to develop popular RL algorithms. You will gain practical experience in the RL domain using the modern offerings of the PyTorch 1.x library.
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PyTorch 1.x Reinforcement Learning Cookbook. Over 60 recipes to design, develop, and deploy self-learning AI models using Python PyTorch 1.x Reinforcement Learning Cookbook. Over 60 recipes to design, develop, and deploy self-learning AI models using Python
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pandas is a popular Python library used by data scientists and analysts worldwide to manipulate and analyze their data. This book presents useful techniques and real-world examples on getting the most out of pandas for expert-level data manipulation, analysis and visualization.
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Mastering pandas. A complete guide to pandas, from installation to advanced data analysis techniques - Second Edition Mastering pandas. A complete guide to pandas, from installation to advanced data analysis techniques - Second Edition
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With this book, you will understand the core concepts and techniques of reinforcement learning. You will take a look into each RL algorithm and will develop your own self-learning algorithms and models. You will optimize the algorithms for better precision, use high-speed actions and lower the risk of anomalies in your applications.
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Reinforcement Learning Algorithms with Python. Learn, understand, and develop smart algorithms for addressing AI challenges Reinforcement Learning Algorithms with Python. Learn, understand, and develop smart algorithms for addressing AI challenges
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Python is a multi-domain, interpreted programming language. It is a widely used general-purpose, high-level programming language. This book follows a task-based approach to help you create beautiful and very effective GUIs with the least amount of code necessary.
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Python GUI Programming Cookbook. Develop functional and responsive user interfaces with tkinter and PyQt5 - Third Edition Python GUI Programming Cookbook. Develop functional and responsive user interfaces with tkinter and PyQt5 - Third Edition
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Hands-on Application Development with PyCharm addresses the modern-age enterprise application development concerns and how to solve them using a variety of features and functionalities available in PyCharm. This book will help you master the art of developing and delivering production-ready and real-world python applications to your clients.
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Hands-On Application Development with PyCharm. Accelerate your Python applications using practical coding techniques in PyCharm Hands-On Application Development with PyCharm. Accelerate your Python applications using practical coding techniques in PyCharm
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Geospatial Analysis is used in almost every field you can think of from medicine to defense, to farming. Learning Geospatial Analysis with Python, Third Edition would be a helpful guide to Geographic Information Systems and Remote Sensing Analysis using Python 3.7 without overwhelming the reader.
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Learning Geospatial Analysis with Python. Understand GIS fundamentals and perform remote sensing data analysis using Python 3.7 - Third Edition Learning Geospatial Analysis with Python. Understand GIS fundamentals and perform remote sensing data analysis using Python 3.7 - Third Edition
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This book is a guide to the TensorFlow (TF) framework, from the static graph architecture of TF 1.x to the eager execution and all the new features introduced in TF 2.0. Neural Networks applications are developed throughout the book with the aim of making the reader capable of developing neural networks-based solutions to real problems using TF 2.0
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Hands-On Neural Networks with TensorFlow 2.0. Understand TensorFlow, from static graph to eager execution, and design neural networks Hands-On Neural Networks with TensorFlow 2.0. Understand TensorFlow, from static graph to eager execution, and design neural networks
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This book will teach Python to complete beginners through a set of 3 practical projects. Its content goes over developing a handful of scripts, performing data analysis, train machine learning models and roll them into production. We will further outline the advanced topics and direct readers to relevant resources.
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Learn Python by Building Data Science Applications. A fun, project-based guide to learning Python 3 while building real-world apps Learn Python by Building Data Science Applications. A fun, project-based guide to learning Python 3 while building real-world apps
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If you wish to design smart, threat-proof cybersecurity systems using trending AI tools and techniques, then this book is for you. With this book, you will learn to develop intelligent systems that can detect suspicious patterns and attacks, thereby allowing you to protect your network and corporate assets.
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Hands-On Artificial Intelligence for Cybersecurity. Implement smart AI systems for preventing cyber attacks and detecting threats and network anomalies Hands-On Artificial Intelligence for Cybersecurity. Implement smart AI systems for preventing cyber attacks and detecting threats and network anomalies
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This book will be a handy guide to quickly learn pandas and understand how it can empower you in the exciting world of data manipulation, analysis, and data science. You will learn how to use pandas to perform numeric and statistical analysis using real-world examples. You will also visualize statistical data and apply pandas to different domains.
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Hands-On Data Analysis with Pandas. Efficiently perform data collection, wrangling, analysis, and visualization using Python Hands-On Data Analysis with Pandas. Efficiently perform data collection, wrangling, analysis, and visualization using Python
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This book introduces basic-to-advanced deep learning algorithms used in a production environment by AI researchers and principal data scientists; it explains algorithms intuitively, including the underlying math, and shows how to implement them using popular Python-based deep learning libraries such as TensorFlow.
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Hands-On Deep Learning Algorithms with Python. Master deep learning algorithms with extensive math by implementing them using TensorFlow Hands-On Deep Learning Algorithms with Python. Master deep learning algorithms with extensive math by implementing them using TensorFlow
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Ensemble learning can provide the necessary methods to improve the accuracy and performance of existing models. In this book, you'll understand how to combine different machine learning algorithms to produce more accurate results from your models.
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Hands-On Ensemble Learning with Python. Build highly optimized ensemble machine learning models using scikit-learn and Keras Hands-On Ensemble Learning with Python. Build highly optimized ensemble machine learning models using scikit-learn and Keras
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Data Science with Python will help you get comfortable with using the Python environment for data science. You will learn all the libraries that a data scientist uses on a daily basis. By the end of this course, you will be able to take a large raw dataset, clean it, manipulate it, and run machine learning algorithms to obtain results that influenc
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Master Data Science with Python. Combine Python with machine learning principles to discover hidden patterns in raw data Master Data Science with Python. Combine Python with machine learning principles to discover hidden patterns in raw data
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This second edition will share practical, modern solutions and best practices on Flask web development. It enables you to work with templates, ORM, view layers, and admin interface to help you build, deploy, and debug powerful web apps. The book concludes with effective deployment and post-deployment techniques on Apache, Tornado, and Heroku.
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Flask Framework Cookbook. Over 80 proven recipes and techniques for Python web development with Flask - Second Edition Flask Framework Cookbook. Over 80 proven recipes and techniques for Python web development with Flask - Second Edition
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Web scraping is an essential technique used in many organizations to scrape valuable data from web pages. This book will help you master web scraping techniques and methodologies using Python libraries and other popular tools such as Selenium. By the end of this book, you will have learned how to efficiently scrape different websites.
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Hands-On Web Scraping with Python. Perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others Hands-On Web Scraping with Python. Perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others
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This book will provide you an overview of Deep Learning techniques to facilitate the analytics and learning in various IoT apps. We will take you through each process - from data collection, analysis, modeling, statistics, and monitoring. We will make IoT data speak with a set of popular frameworks, like TensorFlow, TensorFlow Lite, and Chainer.
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Hands-On Deep Learning for IoT. Train neural network models to develop intelligent IoT applications Hands-On Deep Learning for IoT. Train neural network models to develop intelligent IoT applications
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This Learning Path guides you through every concept necessary to create fully functional GUI applications using PyQt and Tkinter with only a few lines of code. You’ll learn to design and build GUIs that are functional, appealing, and user-friendly using the powerful combination of Python and its GUI frameworks.
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Python GUI Programming - A Complete Reference Guide. Develop responsive and powerful GUI applications with PyQt and Tkinter Python GUI Programming - A Complete Reference Guide. Develop responsive and powerful GUI applications with PyQt and Tkinter
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Mastering Object-Oriented Python, Second Edition, will introduce the advanced features of the Python programming language to create the highest quality Python programs possible. This means exploring design alternatives and determining which design offers the best performance, while still being a good fit with the problem being solved.
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Mastering Object-Oriented Python. Build powerful applications with reusable code using OOP design patterns and Python 3.7 - Second Edition Mastering Object-Oriented Python. Build powerful applications with reusable code using OOP design patterns and Python 3.7 - Second Edition
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Starting with the basics, this book teaches you how to choose from the various text pre-processing techniques and select the best model from the several neural network architectures for NLP issues.
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Deep Learning for Natural Language Processing. Solve your natural language processing problems with smart deep neural networks Deep Learning for Natural Language Processing. Solve your natural language processing problems with smart deep neural networks
Karthiek Reddy Bokka, Shubhangi Hora, Tanuj Jain, Monicah Wambugu
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Malware analysis is a powerful investigation technique widely used in various security areas including digital forensics and incident response processes. Working through practical examples, you'll be able to analyze any type of malware you may encounter within the modern world.
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Mastering Malware Analysis. The complete malware analyst's guide to combating malicious software, APT, cybercrime, and IoT attacks Mastering Malware Analysis. The complete malware analyst's guide to combating malicious software, APT, cybercrime, and IoT attacks
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Principles of Strategic Data Science describes a framework that creates value from data to help organizations meet their objectives. With this book, you'll bridge the gap between mathematics and computer science and also gain insight into the workings of the entire data science pipeline.
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Principles of Strategic Data Science. Creating value from data, big and small Principles of Strategic Data Science. Creating value from data, big and small
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This book will help you leverage the power of data analysis and apply it to location and geospatial data to gain interesting insights. It presents useful tools and location intelligence techniques in Python to implement geospatial analytics from scratch.
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Geospatial Data Science Quick Start Guide. Effective techniques for performing smarter geospatial analysis using location intelligence Geospatial Data Science Quick Start Guide. Effective techniques for performing smarter geospatial analysis using location intelligence
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Computer vision is achieving a new frontier of capabilities in fields like health, automobile or robotics. This book explores TensorFlow 2, Google's open-source AI framework, and teaches how to leverage deep neural networks for visual tasks. It will help you acquire the insight and skills to be a part of the exciting advances in computer vision.
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Hands-On Computer Vision with TensorFlow 2. Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras Hands-On Computer Vision with TensorFlow 2. Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras
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This book will be a journey for beginners who want to step into the world of deep learning and artificial intelligence. It will thoughtfully take you through the training and implementation of various neural network architectures using the Python ecosystem. You will master each neural network architecture while understanding its working mechanism.
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Hands-On Neural Networks. Learn how to build and train your first neural network model using Python Hands-On Neural Networks. Learn how to build and train your first neural network model using Python
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Starting with the basics, Applied Unsupervised Learning with Python explains various techniques that you can apply to your data using the powerful Python libraries so that your unlabeled data reveals solutions to all your business questions.
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Applied Unsupervised Learning with Python. Discover hidden patterns and relationships in unstructured data with Python Applied Unsupervised Learning with Python. Discover hidden patterns and relationships in unstructured data with Python
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A supervised learning task infers a function from flagged training data and maps an input to an output based on sample input-output pairs. In this book, you will learn various machine learning techniques (such as linear and logistic regression) and gain the practical knowledge you need to quickly and powerfully apply algorithms to new problems.
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Supervised Machine Learning with Python. Develop rich Python coding practices while exploring supervised machine learning Supervised Machine Learning with Python. Develop rich Python coding practices while exploring supervised machine learning
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The book will aim to tackle this problem by providing a comprehensive walkthrough of GUI development with PyQt5. Beginning with a brief introduction to PyQt5, the book will take you on a journey towards building stunning GUIs. Finally, you will learn various optimization techniques to improve your application’s performance and functionality.
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Mastering GUI Programming with Python. Develop impressive cross-platform GUI applications with PyQt Mastering GUI Programming with Python. Develop impressive cross-platform GUI applications with PyQt
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MicroPython is an open source implementation of Python 3 language that runs on embedded environments. With MicroPython you can write clean and simple Python code to control hardware instead of having to use complex low-level languages such as C or C++. If you want to create devices that interact with physical world, this cookbook is perfect for you
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MicroPython Cookbook. Over 110 practical recipes for programming embedded systems and microcontrollers with Python MicroPython Cookbook. Over 110 practical recipes for programming embedded systems and microcontrollers with Python
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This book will acquaint you with various aspects of statistical analysis in Python. You will work with different types of prediction models, such as decision trees, random forests and neural networks. By the end of this book, you will be confident in using various Python packages to train your own models for effective machine learning.
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Training Systems using Python Statistical Modeling. Explore popular techniques for modeling your data in Python Training Systems using Python Statistical Modeling. Explore popular techniques for modeling your data in Python
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GPU technologies are the paradigm shift in modern computing. This book will take you through architecting your GPU-based systems to deploying the computational models on GPUs for faster processing. You will learn to program your GPUs to build a GPU-accelerated environment for accelerating machine learning models and other data-intensive processing
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Hands-On GPU Computing with Python. Explore the capabilities of GPUs for solving high performance computational problems Hands-On GPU Computing with Python. Explore the capabilities of GPUs for solving high performance computational problems
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Dynamics 365 Business Central is the new Cloud-based SaaS ERP proposition from Microsoft. It’s not as simple as it used to be way back when it was called Navigator, Navision Financials, or Microsoft Business Solutions-Navision. Our development practices are becoming more formal, and with this the call for test automation is pressing on us. T
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Automated Testing in Microsoft Dynamics 365 Business Central. Efficiently automate test cases in Dynamics NAV and Business Central Automated Testing in Microsoft Dynamics 365 Business Central. Efficiently automate test cases in Dynamics NAV and Business Central
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Data Science Projects with Python will help you build a toolkit for solving data science problems with Python. You will learn how to implement machine learning techniques for deriving insights from data. These skills will help you develop the kind of state-of-the-art predictive models that are used to deliver value to businesses across industries.
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Data Science Projects with Python. A case study approach to successful data science projects using Python, pandas, and scikit-learn Data Science Projects with Python. A case study approach to successful data science projects using Python, pandas, and scikit-learn