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.
Packt Publishing - ebooki
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Put your data science knowledge to work with this practical guide to statistics. You’ll understand the working mechanism of each method used and find out how data science algorithms function. This book will help you learn the statistical techniques required for key model building and functioning using Python.
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Essential Statistics for Non-STEM Data Analysts. Get to grips with the statistics and math knowledge needed to enter the world of data science with Python Essential Statistics for Non-STEM Data Analysts. Get to grips with the statistics and math knowledge needed to enter the world of data science with Python
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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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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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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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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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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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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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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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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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Building Analytics Teams is your one-stop guide to transforming your firm into an analytically driven organization while efficiently and effectively managing executive expectations of the return on investment of the team and projects.
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Building Analytics Teams. Harnessing analytics and artificial intelligence for business improvement Building Analytics Teams. Harnessing analytics and artificial intelligence for business improvement
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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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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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Deep learning enables efficient and accurate learning from data. Developers working with R will be able to put their knowledge to work with this practical guide to deep learning. The book provides a hands-on approach to implementation and associated methodologies that will have you up-and-running, and productive in no time.
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Hands-On Deep Learning with R. A practical guide to designing, building, and improving neural network models using R Hands-On Deep Learning with R. A practical guide to designing, building, and improving neural network models using R
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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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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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The Applied SQL Data Analytics Workshop is the ideal companion on your journey to extracting information from raw business data. Whether it's importing data, analyzing complex data types, or optimizing your queries, this book equips you with the skills you need to build your knowledge in data analysis with SQL.
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The Applied SQL Data Analytics Workshop. Develop your practical skills and prepare to become a professional data analyst - Second Edition The Applied SQL Data Analytics Workshop. Develop your practical skills and prepare to become a professional data analyst - Second Edition
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This book will help you get through the problems that you face during the execution of different tasks and understand hacks in deep learning. With unique recipes, you will implement various deep learning architectures using R 3.5.x. You will cover complex algorithms to perform tasks such as reinforcement learning, GANs, advanced neural networks and
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Deep Learning with R Cookbook. Over 45 unique recipes to delve into neural network techniques using R 3.5.x Deep Learning with R Cookbook. Over 45 unique recipes to delve into neural network techniques using R 3.5.x
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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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The CompTIA Security+ exam is a valuable qualification for those seeking a career in Cybersecurity. This book is a great resource to test whether your knowledge base and skills align with the exam objectives.
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CompTIA Security+ Practice Tests SY0-501. Practice tests in 4 different formats and 6 cheat sheets to help you pass the CompTIA Security+ exam CompTIA Security+ Practice Tests SY0-501. Practice tests in 4 different formats and 6 cheat sheets to help you pass the CompTIA Security+ exam
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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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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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Tableau Desktop Certified Associate: Exam Guide is a practical book full of exercises and examples that help you master Tableau Desktop and successfully pass the certification with ease. This book includes complete, up-to-date coverage of the exam so you can take them with confidence, fully equipped to pass the first time.
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Tableau Desktop Certified Associate: Exam Guide. Develop your Tableau skills and prepare for Tableau certification with tips from industry experts Tableau Desktop Certified Associate: Exam Guide. Develop your Tableau skills and prepare for Tableau certification with tips from industry experts
Dmitry Anoshin, JC Gillet, Fabian Peri, Radhika Biyani, Gleb Makarenko
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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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With this book, you will learn how to integrate data science into your organization and lead data science teams. You will discover the inner workings of data science, explore management techniques for data science projects and get strategies for executing every stage of the project efficiently.
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Managing Data Science. Effective strategies to manage data science projects and build a sustainable team Managing Data Science. Effective strategies to manage data science projects and build a sustainable team
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Deep Learning is a trending topic in AI currently, as it allows you to make faster and more accurate predictions using the power of neural networks. This book will teach you the process of neural network design, and show you how to develop efficient deep learning applications using Deeplearning4j through practical and easy to implement recipes.
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Java Deep Learning Cookbook. Train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j Java Deep Learning Cookbook. Train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j
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Salesforce Advanced Administrator Certification Guide is a complete resource that will help you gain the knowledge and master the skills required to earn the advanced administrator credentials. With plenty of questions and answers along with best practices, you will learn all the concepts asked in exams specially designed with this guide.
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Salesforce Advanced Administrator Certification Guide. Become a Certified Advanced Salesforce Administrator with this exam guide Salesforce Advanced Administrator Certification Guide. Become a Certified Advanced Salesforce Administrator with this exam guide
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This book will provide knowledge and hands-on practical experience required to build a good understanding of how modern electronic trading markets and market participants operate. You will learn how to design, build and operate all the components required to build a practical and profitable algorithmic trading business using Python.
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Learn Algorithmic Trading. Build and deploy algorithmic trading systems and strategies using Python and advanced data analysis Learn Algorithmic Trading. Build and deploy algorithmic trading systems and strategies using Python and advanced data analysis
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Extreme C teaches you to use C’s power. You will master preprocessor directives, macros, conditional compilation, pointers, and much more, and gain new insight into algorithm design, functions, and structures. Amini’s book captures his experience as a programmer and scientist, encouraging you to think, question, apply, and experiment
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Extreme C. Taking you to the limit in Concurrency, OOP, and the most advanced capabilities of C Extreme C. Taking you to the limit in Concurrency, OOP, and the most advanced capabilities of C
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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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Elasticsearch is one of the most popular tools for distributed search. This book will help you in understanding all about the new features of Elasticsearch 7, and how to use them efficiently for searching, aggregating and indexing data with speed and accuracy.
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Elasticsearch 7 Quick Start Guide. Get up and running with the distributed search and analytics capabilities of Elasticsearch Elasticsearch 7 Quick Start Guide. Get up and running with the distributed search and analytics capabilities of Elasticsearch
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In the R Bioinformatics Cookbook, you encounter common and not-so-common challenges in the bioinformatics domain and solve them using real-world examples. The book guides you through varied bioinformatics analysis, from raw data to clean results. It shows you how to import, explore and evaluate your data and how to report it.
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R Bioinformatics Cookbook. Use R and Bioconductor to perform RNAseq, genomics, data visualization, and bioinformatic analysis R Bioinformatics Cookbook. Use R and Bioconductor to perform RNAseq, genomics, data visualization, and bioinformatic analysis
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This book teaches everything you need to know to jumpstart your own software architecture documentation. Through several elaborate examples, you’ll learn how to write useful documentation that clearly explains the architecture of your software.
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arc42 by Example. Software architecture documentation in practice arc42 by Example. Software architecture documentation in practice
Dr. Gernot Starke, Michael Simons, Stefan Zörner, Ralf D. Müller
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AI in AWS covers primarily two broad topics – a) how to leverage readily available AI/ML APIs and b) how to build, train and deploy ML models from scratch, to solve diverse business problems, such as demand forecasting, image classification, topic modeling, speech and text recognition.By the end of the book, you will have learned how to buil
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Hands-On Artificial Intelligence on Amazon Web Services. Decrease the time to market for AI and ML applications with the power of AWS Hands-On Artificial Intelligence on Amazon Web Services. Decrease the time to market for AI and ML applications with the power of AWS
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Since the internet of things is on the rise, and mega-companies like Microsoft have projected to spend around 5 billion for IoT in the coming years, acquired talent in this domain definitely needs to have MQTT knowledge for building IoT projects. This book will help you leverage the power of MQTT to build exciting IoT projects
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Hands-On Internet of Things with MQTT. Build connected IoT devices with Arduino and MQ Telemetry Transport (MQTT) Hands-On Internet of Things with MQTT. Build connected IoT devices with Arduino and MQ Telemetry Transport (MQTT)
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What exactly is a developer advocate, and how do they connect developers and companies around the world? Why is the area of developer relations about to explode? What are the hot topics in areas including Java, JavaScript, “tech for good”, artificial intelligence, blockchain, the cloud, and open source?These are just a few of the ques
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Developer, Advocate!. Conversations on turning a passion for talking about tech into a career Developer, Advocate!. Conversations on turning a passion for talking about tech into a career
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This book converts the concepts of a hexagonal architecture into actual code. It concentrates on one of the most common forms of application in use today - a web application with an underlying database.
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Get Your Hands Dirty on Clean Architecture. A hands-on guide to creating clean web applications with code examples in Java Get Your Hands Dirty on Clean Architecture. A hands-on guide to creating clean web applications with code examples in Java
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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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SAS is one of the leading enterprise tools in the world today when it comes to data management and analysis. It allows for faster, easier processing of data and empowers you to get valuable business insights for effective decision-making. This book will serve as a comprehensive guide you can refer to while preparing for your SAS certification exam.
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Hands-On SAS For Data Analysis. A practical guide to performing effective queries, data visualization, and reporting techniques Hands-On SAS For Data Analysis. A practical guide to performing effective queries, data visualization, and reporting techniques
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Binary Analysis is a complex and constantly evolving topic, crossing into several realms of IT and information security. The recipes in this book will serve as a good reference for you to get a better understanding of various aspects related to analyzing malware, identifying vulnerabilities in code, exploit writing and reverse engineering.
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Binary Analysis Cookbook. Actionable recipes for disassembling and analyzing binaries for security risks Binary Analysis Cookbook. Actionable recipes for disassembling and analyzing binaries for security risks
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This book will help you bring business intelligence capabilities using Power BI in order to make smarter decisions. You will learn data modeling, visualizations, and analytical capabilities from scratch using hands-on examples. By the end of this book, you will learn the extensive features of Power BI and how to use them to unlock business insights
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Learn Power BI. A beginner's guide to developing interactive business intelligence solutions using Microsoft Power BI Learn Power BI. A beginner's guide to developing interactive business intelligence solutions using Microsoft Power BI
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SQL for Data Analytics teaches everything you need to know to progress from basic SQL to identifying trends and creating compelling narratives with data. With this book, you will be able to look at data with the critical eye of an analytics professional and extract meaningful insights that will improve your business.
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SQL for Data Analytics. Perform fast and efficient data analysis with the power of SQL SQL for Data Analytics. Perform fast and efficient data analysis with the power of SQL
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The Go ecosystem comprises some really powerful Deep Learning tools. This book shows you how to use these tools to train and deploy scalable Deep Learning models. You will explore a number of modern Neural Network architectures such as CNNs, RNNs, and more. By the end, you will be able to train your own Deep Learning models from scratch, using the
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Hands-On Deep Learning with Go. A practical guide to building and implementing neural network models using Go Hands-On Deep Learning with Go. A practical guide to building and implementing neural network models using Go
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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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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 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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Hands-On Exploratory Data Analysis with R puts the complete process of exploratory data analysis into a practical demonstration in one nutshell. You will understand the concepts of data analysis right from data ingestion, data cleaning, data manipulation to applying statistical techniques and visualizing hidden patterns.
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Hands-On Exploratory Data Analysis with R. Become an expert in exploratory data analysis using R packages Hands-On Exploratory Data Analysis with R. Become an expert in exploratory data analysis using R packages
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This book introduces you to time series analysis and forecasting with R; this is one of the key fields in statistical programming and includes techniques for analyzing data to extract meaningful insights. You will explore methods, such as prediction with time series analysis, and identify the relationship between each data point in the series.
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Hands-On Time Series Analysis with R. Perform time series analysis and forecasting using R Hands-On Time Series Analysis with R. Perform time series analysis and forecasting using R
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This book will help you perform effective data analysis with Scala using practical examples. You will come across different challenges and their effective solutions for a variety of data processing tasks - be it data exploration, data manipulation, or real-time data analysis using Apache Spark.
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Hands-On Data Analysis with Scala. Perform data collection, processing, manipulation, and visualization with Scala Hands-On Data Analysis with Scala. Perform data collection, processing, manipulation, and visualization with Scala
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This book explains the essential learning algorithms used for deep and shallow architectures. Packed with practical implementations to help you understand the concepts and ideas required to build efficient artificial intelligence systems, this book will help you construct deep models using popular frameworks and datasets.
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Hands-On Deep Learning Architectures with Python. Create deep neural networks to solve computational problems using TensorFlow and Keras Hands-On Deep Learning Architectures with Python. Create deep neural networks to solve computational problems using TensorFlow and Keras
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Data Science for Marketing Analytics opens doors to looking at data with a different approach and new tools. Drawing on machine learning and data science concepts, this book broadens the range of tools that you can use to transform the market analysis process.
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Data Science for Marketing Analytics. Achieve your marketing goals with the data analytics power of Python Data Science for Marketing Analytics. Achieve your marketing goals with the data analytics power of Python
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This book will give you an in-depth view of the potential of deep learning and neural networks in game development. You will also learn to use neural nets combined with reinforcement learning for new types of game AI.
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Hands-On Deep Learning for Games. Leverage the power of neural networks and reinforcement learning to build intelligent games Hands-On Deep Learning for Games. Leverage the power of neural networks and reinforcement learning to build intelligent games
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Natural Language Processing Fundamentals starts with basics and goes on to explain various NLP tools and techniques that equip you with all that you need to solve common business problems for processing text.
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Natural Language Processing Fundamentals. Build intelligent applications that can interpret the human language to deliver impactful results Natural Language Processing Fundamentals. Build intelligent applications that can interpret the human language to deliver impactful results
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In this book, you'll learn to implement some practical and proven techniques to improve aspects of programming and administration in Apache Spark. Techniques are demonstrated using practical examples and best practices. You will also learn how to use Spark and its Python API to create performant analytics with large-scale data.
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Hands-On Big Data Analytics with PySpark. Analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs Hands-On Big Data Analytics with PySpark. Analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs
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This book will be an excellent resource for both Python and R developers and will help them apply data science and machine learning to marketing with real-world data sets. By the end of this book, you will be well equipped with the required knowledge and expertise to draw insights from data and improve your marketing strategies.
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Hands-On Data Science for Marketing. Improve your marketing strategies with machine learning using Python and R Hands-On Data Science for Marketing. Improve your marketing strategies with machine learning using Python and R
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This book is ideal for people wanting to get up-and-running with the core concepts of machine learning using R 3.5. This book follows a step-by-step approach to implementing an end-to-end pipeline, addressing data collection and processing, various types of data analysis, and machine learning use cases.
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Machine Learning with R Quick Start Guide. A beginner's guide to implementing machine learning techniques from scratch using R 3.5 Machine Learning with R Quick Start Guide. A beginner's guide to implementing machine learning techniques from scratch using R 3.5
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With this book, you will learn to execute a series of intermediate to advanced statistical tasks as you walk through each chapter. You will not only get well versed with the traditional statistics but you will also cover the necessary statistics required for machine learning and deep learning concepts.
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R Statistics Cookbook. Over 100 recipes for performing complex statistical operations with R 3.5 R Statistics Cookbook. Over 100 recipes for performing complex statistical operations with R 3.5
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TensorFlow is one of the most popular machine learning frameworks in Python. With this book, you will improve your knowledge of some of the latest TensorFlow features and will be able to perform supervised and unsupervised machine learning and also train neural networks.
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TensorFlow 2.0 Quick Start Guide. Get up to speed with the newly introduced features of TensorFlow 2.0 TensorFlow 2.0 Quick Start Guide. Get up to speed with the newly introduced features of TensorFlow 2.0
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Cognitive Toolkit is one of the most popular and recently open sourced deep learning toolkit by Microsoft. Cognitive Toolkit is used to train fast and effective deep learning models. This book will be a quick introduction to using Cognitive Toolkit and will teach you how to train and validate different types of neural networks.
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Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide. A practical guide to building neural networks using Microsoft's open source deep learning framework Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide. A practical guide to building neural networks using Microsoft's open source deep learning framework
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Starting with the basics, Applied Unsupervised Learning with R explains clustering methods, distribution analysis, data encoders, and all features of R that enable you to understand your data better and get answers to all your business questions.
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Applied Unsupervised Learning with R. Uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA Applied Unsupervised Learning with R. Uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA
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Tableau 2019 is the gold standard of business intelligence and visual analytics. It empowers rapid data visualization and advanced analytics with charts, graphs, dashboards, and powerful analytic tools. This book lays a strong foundation of the Tableau paradigm and builds to advanced topics, including Tableau Prep, to make you an expert.
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Learning Tableau 2019. Tools for Business Intelligence, data prep, and visual analytics - Third Edition Learning Tableau 2019. Tools for Business Intelligence, data prep, and visual analytics - Third Edition
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The book will help you build effective business intelligence dashboards using the latest features of QlikView. You will create different types of visualizations such as bar charts, interactive plots, and more. With this book, you will learn how to gain actionable insights from your data and communicate them across to relevant stakeholders in the be
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Hands-On Dashboard Development with QlikView. Practical guide to creating interactive and user-friendly business intelligence dashboards Hands-On Dashboard Development with QlikView. Practical guide to creating interactive and user-friendly business intelligence dashboards
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Data is the new oil, but it comes crude. To do anything meaningful - modeling, visualization, machine learning, for predictive analysis – you first need to wrestle and wrangle with data. Data Wrangling with Python teaches you the essentials that will get you up and running with data wrangling in no time.
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Data Wrangling with Python. Creating actionable data from raw sources Data Wrangling with Python. Creating actionable data from raw sources
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This book is an excellent entry-level guide for all aspiring Qlik Sense developers to create applications in Qlik Sense Desktop to obtain daily insights at work. You'll be able to implement what you've learned to overcome in day-to-day stumbling blocks faced in the BI domain.
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Hands-On Business Intelligence with Qlik Sense. Implement self-service data analytics with insights and guidance from Qlik Sense experts Hands-On Business Intelligence with Qlik Sense. Implement self-service data analytics with insights and guidance from Qlik Sense experts
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In this book, you will learn how to use Chart.js, based on open Web standards, through a series of step-by-step tutorials and simple real-world examples to build interactive and responsive Web-based visualizations for your data. You will learn how to load and parse external data formats like CSV and JSON, and create different types of charts.
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Learn Chart.js. Create interactive visualizations for the Web with Chart.js 2 Learn Chart.js. Create interactive visualizations for the Web with Chart.js 2
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This is a comprehensive guide to understand advanced concepts of Hadoop ecosystem. You will learn how Hadoop works internally, and build solutions to some of real world use cases. Finally, you will have a solid understanding of how components in the Hadoop ecosystem are effectively integrated to implement a fast and reliable Big Data pipeline
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Mastering Hadoop 3. Big data processing at scale to unlock unique business insights Mastering Hadoop 3. Big data processing at scale to unlock unique business insights
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The perfect guide to master your Tableau skills to become a proficient BI expert. You will learn to build advanced dashboards and storytelling to derive key business insights. An all in one resource to get well versed with advanced functionalities of Tableau in business intelligence domain
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Mastering Tableau 2019.1. An expert guide to implementing advanced business intelligence and analytics with Tableau 2019.1 - Second Edition Mastering Tableau 2019.1. An expert guide to implementing advanced business intelligence and analytics with Tableau 2019.1 - Second Edition
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The SAP BusinessObjects Business Intelligence platform is a powerful reporting and analysis tool. This book is the ideal introduction to the SAP BusinessObjects Business Intelligence platform, introducing you to its data visualization, visual analytics, reporting, and dashboarding capabilities.
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SAP Business Intelligence Quick Start Guide. Actionable business insights from the SAP BusinessObjects BI platform SAP Business Intelligence Quick Start Guide. Actionable business insights from the SAP BusinessObjects BI platform
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This book is for Python developers to implement various components of end-to-end decentralized applications such as cryptocurrencies, smart contracts, wallet and more. You will use the example-based approach using various libraries from Python ecosystem to build efficient and powerful blockchain applications at work or projects.
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Hands-On Blockchain for Python Developers. Gain blockchain programming skills to build decentralized applications using Python Hands-On Blockchain for Python Developers. Gain blockchain programming skills to build decentralized applications using Python
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Businesses, right from small-sized to large giants are using MySQL to access and manipulate their enterprise database across the world. Advanced MySQL 8 will be your one-stop destination in how to implement and manage large-scale MySQL distributed clusters to run high-volume websites, enterprise systems, and packaged software.
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Advanced MySQL 8. Discover the full potential of MySQL and ensure high performance of your database Advanced MySQL 8. Discover the full potential of MySQL and ensure high performance of your database
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Apache Spark is a ?exible in-memory framework that allows processing of both batch and real-time data. Its unified engine has made it quite popular for big data use cases. This book will help you to quickly get started with Apache Spark 2.0 and write efficient big data applications for a variety of use cases.
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Apache Spark Quick Start Guide. Quickly learn the art of writing efficient big data applications with Apache Spark Apache Spark Quick Start Guide. Quickly learn the art of writing efficient big data applications with Apache Spark
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In this book, we will use different complexities of datasets in order to build end-to-end projects. With every chapter, the level of complexity and operations will become advanced. It consists of 8 full-fledged projects covering approaches such as 3D-GAN, Age-cGAN, DCGAN, SRGAN, StackGAN, and CycleGAN with real-world use cases.
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Generative Adversarial Networks Projects. Build next-generation generative models using TensorFlow and Keras Generative Adversarial Networks Projects. Build next-generation generative models using TensorFlow and Keras
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The book will help you get well-versed with different techniques in Artificial Intelligence such as machine learning, deep learning, natural language processing and more to build smart IoT systems. By the end of the book, you will have practical knowledge on how to implement and manipulate text, audio, and speech data within the IoT system.
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Hands-On Artificial Intelligence for IoT. Expert machine learning and deep learning techniques for developing smarter IoT systems Hands-On Artificial Intelligence for IoT. Expert machine learning and deep learning techniques for developing smarter IoT systems
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The science of gathering and extracting information from data-intensive applications bring in the challenge of writing complex libraries and efficient programs using high level languages like Python, R, so on. This book aims to explore the power of Unix-styled scripting tools like awk, bash, grep and package them as highly efficient built-in progra
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Hands-On Data Science with the Command Line. Automate everyday data science tasks using command-line tools Hands-On Data Science with the Command Line. Automate everyday data science tasks using command-line tools
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Deep Learning is a subset of Machine Learning where data sets with several layers of complexity can be processed. This book teaches you the different techniques using which deep learning solutions can be implemented at scale, on Apache Spark. This will help you gain experience of implementing your deep learning models in many real-world use cases.
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Hands-On Deep Learning with Apache Spark. Build and deploy distributed deep learning applications on Apache Spark Hands-On Deep Learning with Apache Spark. Build and deploy distributed deep learning applications on Apache Spark
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Kibana is the visualization tool of the Elastic Stack, used for visualizing the results of the queries as well the dashboards generated out of the Elasticsearch and Logstash components. This book contains core concepts of Kibana with a straightforward form of chapters so that reader can move forward in a step by step manner.
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Kibana 7 Quick Start Guide. Visualize your Elasticsearch data with ease Kibana 7 Quick Start Guide. Visualize your Elasticsearch data with ease
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Machine learning involves development and training of models used to predict future outcomes. This book is a practical guide to all the tips and tricks related to machine learning. It includes hands-on, easy to access techniques on topics like model selection, performance tuning, training neural networks, time series analysis and a lot more.
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Machine Learning Quick Reference. Quick and essential machine learning hacks for training smart data models Machine Learning Quick Reference. Quick and essential machine learning hacks for training smart data models
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Elastic has announced the integration of Prelert machine learning technology within its ecosystem allowing real-time generation of business insights from the Elasticsearch data without it leaving the cluster at all. This book will demonstrate these unique features and teach you to perform machine learning on the Elastic Stack without any hassle.
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Machine Learning with the Elastic Stack. Expert techniques to integrate machine learning with distributed search and analytics Machine Learning with the Elastic Stack. Expert techniques to integrate machine learning with distributed search and analytics
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Machine learning is a field of AI where we build systems that learn from data. This book explains complicated concepts with real-world applications. It demonstrates the power of R and machine learning extensively while highlighting the constraints. Finally, it will walk you through topics such as text analysis, time series, and deep learning.
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Mastering Machine Learning with R. Advanced machine learning techniques for building smart applications with R 3.5 - Third Edition Mastering Machine Learning with R. Advanced machine learning techniques for building smart applications with R 3.5 - Third Edition
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Explore recipes for analysis, visualization, and more with the Tableau 2019.x Cookbook. You’ll cover more than 115 recipes, discover best practices, and expert techniques as you progress through the book.
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Tableau 2019.x Cookbook. Over 115 recipes to build end-to-end analytical solutions using Tableau Tableau 2019.x Cookbook. Over 115 recipes to build end-to-end analytical solutions using Tableau
Dmitry Anoshin, Teodora Matic, Slaven Bogdanovic, Tania Lincoln, Dmitrii Shirokov
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Web scraping is the process of extracting information from the web using various tools that perform scraping and crawling. Go is emerging as the language of choice for scraping using a variety of libraries. This book will quickly explain to you, how to scrape data data from various websites using Go libraries such as Colly and Goquery.
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Go Web Scraping Quick Start Guide. Implement the power of Go to scrape and crawl data from the web Go Web Scraping Quick Start Guide. Implement the power of Go to scrape and crawl data from the web
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Blockchain has the potential to change the world and has become the hottest field in the tech sector now. Blockchain for Business is a comprehensive guide that enables you to fully understand the far-reaching applications beyond Bitcoin and empowers you to make fully-informed decisions.
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Blockchain for Business 2019. A user-friendly introduction to blockchain technology and its business applications Blockchain for Business 2019. A user-friendly introduction to blockchain technology and its business applications
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The book will help you learn deep neural networks and their applications in computer vision, generative models, and natural language processing. It will also introduce you to the area of reinforcement learning, where you’ll learn the state-of-the-art algorithms to teach the machines how to play games like Go and Atari.
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Python Deep Learning. Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow - Second Edition Python Deep Learning. Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow - Second Edition
Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca
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With the help of this book, you'll build smart algorithmic models using machine learning algorithms covering tasks such as time series forecasting, backtesting, trade predictions, and more using easy-to-follow examples. By the end, you'll be able to adopt algorithmic trading in your own business and implement intelligent investigative strategies.
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Hands-On Machine Learning for Algorithmic Trading. Design and implement investment strategies based on smart algorithms that learn from data using Python Hands-On Machine Learning for Algorithmic Trading. Design and implement investment strategies based on smart algorithms that learn from data using Python
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Learn how to use Apache Kafka for efficient processing of distributed applications. This book focuses on programming rather than configuration management of Kafka clusters or Dev Ops. Each chapter focuses on a practical aspect and tries to avoid the tedious theoretical sections. By the end of this book, you will be familiar with solving everyday p
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Apache Kafka Quick Start Guide. Leverage Apache Kafka 2.0 to simplify real-time data processing for distributed applications Apache Kafka Quick Start Guide. Leverage Apache Kafka 2.0 to simplify real-time data processing for distributed applications
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Blockchain technology is giving birth to new business models, inspiring communities to build economies on a decentralized network. This book will be your practical guide to get you up and running with concepts of building your very own Blockchain network. You will get a thorough understanding of how a decentralized network is built and deployed.
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Blockchain Quick Start Guide. A beginner's guide to developing enterprise-grade decentralized applications Blockchain Quick Start Guide. A beginner's guide to developing enterprise-grade decentralized applications
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QlikView is one of the most flexible and powerful business intelligence platforms around, and if you want to transform data into insights, it is one of the best options you have at hand. Use this Learning Path, to explore the many features of QlikView to realize the potential of your data and present it as impactful and engaging visualizations.
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QlikView: Advanced Data Visualization. Discover deeper insights with Qlikview by building your own rich analytical applications from scratch QlikView: Advanced Data Visualization. Discover deeper insights with Qlikview by building your own rich analytical applications from scratch
Miguel Angel Garcia, Barry Harmsen, Stephen Redmond, Karl Pover
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Bayesian inference uses probability distributions and Bayes' theorem to build flexible models.The book uses PyMC3 to abstract all the mathematical and computational details from this process allowing readers to solve a wide range of problems in data science.
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Bayesian Analysis with Python. Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ - Second Edition Bayesian Analysis with Python. Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ - Second Edition
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Machine Learning with Apache Spark provides a hands-on introduction to Big Data and Advanced Analytics. In a world driven by mass data creation and consumption, this book combines the latest scalable technologies with advanced analytical algorithms using real-world use-cases in order to derive actionable insights from Big Data in real-time.
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Machine Learning with Apache Spark Quick Start Guide. Uncover patterns, derive actionable insights, and learn from big data using MLlib Machine Learning with Apache Spark Quick Start Guide. Uncover patterns, derive actionable insights, and learn from big data using MLlib
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This book is a complete guide to building a solid data science pipeline, combining various tools and techniques to turn data into valuable insights. Get into the world of data science by implementing various real-world data science operations. You will learn how to implement best practices and overcome the challenges associated with each of them.
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Principles of Data Science. Understand, analyze, and predict data using Machine Learning concepts and tools - Second Edition Principles of Data Science. Understand, analyze, and predict data using Machine Learning concepts and tools - Second Edition
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PyTorch is extremely powerful and yet easy to learn. It provides advanced features such as supporting multiprocessor, distributed and parallel computation. This book is an excellent entry point for those wanting to explore deep learning with PyTorch to harness its power.
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Deep Learning with PyTorch Quick Start Guide. Learn to train and deploy neural network models in Python Deep Learning with PyTorch Quick Start Guide. Learn to train and deploy neural network models in Python
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Explore and understand data with the powerful data visualization techniques of Tableau, and then communicate insights in powerful ways
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Tableau 10 Complete Reference. Transform your business with rich data visualizations and interactive dashboards with Tableau 10 Tableau 10 Complete Reference. Transform your business with rich data visualizations and interactive dashboards with Tableau 10
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Apache Spark is an in-memory, cluster-based data processing system that provides a wide range of functionalities such as big data processing, analytics, machine learning, and more.
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Apache Spark 2: Data Processing and Real-Time Analytics. Master complex big data processing, stream analytics, and machine learning with Apache Spark Apache Spark 2: Data Processing and Real-Time Analytics. Master complex big data processing, stream analytics, and machine learning with Apache Spark
Romeo Kienzler, Md. Rezaul Karim, Sridhar Alla, Siamak Amirghodsi, Meenakshi Rajendran, Broderick Hall, Shuen Mei
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The Microsoft Power BI Complete Reference Guide gets you started with business intelligence by showing you how to install the Power BI toolset, design effective data models, and build basic dashboards and visualizations that make your data come to life.
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Microsoft Power BI Complete Reference. Bring your data to life with the powerful features of Microsoft Power BI Microsoft Power BI Complete Reference. Bring your data to life with the powerful features of Microsoft Power BI
Devin Knight, Brian Knight, Mitchell Pearson, Manuel Quintana, Brett Powell
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Data mining, or parsing the data to extract useful insights, is a niche skill that can transform your career as a data scientist Python is a flexible programming language that is equipped with a strong suite of libraries and toolkits, and gives you the perfect platform to sift through your data and mine the insights you seek.
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Numerical Computing with Python. Harness the power of Python to analyze and find hidden patterns in the data Numerical Computing with Python. Harness the power of Python to analyze and find hidden patterns in the data
Pratap Dangeti, Allen Yu, Claire Chung, Aldrin Yim, Theodore Petrou
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Apache Superset is a modern, open source, enterprise-ready Business Intelligence web application. This book will teach you how Superset integrates with popular databases like Postgres, Google BigQuery, Snowflake, and MySQL. You will learn to create real time data visualizations and dashboards on modern web browsers for your organization.
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Apache Superset Quick Start Guide. Develop interactive visualizations by creating user-friendly dashboards Apache Superset Quick Start Guide. Develop interactive visualizations by creating user-friendly dashboards
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Apache Ignite is a distributed in-memory platform designed to scale and process large volume of data. It can be integrated with microservices as well as monolithic systems, and can be used as a scalable, highly available and performant deployment platform for microservices. This book will teach you to use Apache Ignite for building a high performan
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Apache Ignite Quick Start Guide. Distributed data caching and processing made easy Apache Ignite Quick Start Guide. Distributed data caching and processing made easy
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This book covers all the relevant concepts and phases of the blockchain development cycle. It will walk you through a step-by-step process to build three blockchain projects with differing complexity levels and hurdles. By the end of this book, you will be ready to tackle common issues in the blockchain ecosystem.
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Blockchain By Example. A developer's guide to creating decentralized applications using Bitcoin, Ethereum, and Hyperledger Blockchain By Example. A developer's guide to creating decentralized applications using Bitcoin, Ethereum, and Hyperledger
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Hands-On Data Science with R explore various popular R packages to perform various data science tasks, including core statistical concepts and a wide array of use cases. This practical book covers the entire data science ecosystem for aspiring data scientists, including machine learning, NLP, and neural networks
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Hands-On Data Science with R. Techniques to perform data manipulation and mining to build smart analytical models using R Hands-On Data Science with R. Techniques to perform data manipulation and mining to build smart analytical models using R
Vitor Bianchi Lanzetta, Nataraj Dasgupta, Ricardo Anjoleto Farias
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Managing spatial data has always been challenging and it’s getting more complex as the size of data increases. This book is your companion to understand, manage, and analyze spatial data effectively using R and QGIS. You’ll learn to use different statistical analyses with spatial data and automate spatial tasks. You’ll also lea
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Hands-On Geospatial Analysis with R and QGIS. A beginner’s guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2 Hands-On Geospatial Analysis with R and QGIS. A beginner’s guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2
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This book will help you to comprehensively understand the various facets and factors involved in progressing your career in Site Reliability Engineering (SRE). Enterprise and cloud IT teams and software engineers will learn to adopt the SRE concepts and culture in a simplified and streamlined fashion.
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Practical Site Reliability Engineering. Automate the process of designing, developing, and delivering highly reliable apps and services with SRE Practical Site Reliability Engineering. Automate the process of designing, developing, and delivering highly reliable apps and services with SRE
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Learn how to utilize Microsoft SQL Server with NoSQL concepts for data science challenges. This book will help enhance your knowledge beyond data querying & processing tasks by implementing a data science pipeline. We will implement data science tasks and show how to use them on a day-to-day basis for efficient smart predictive models.
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Hands-On Data Science with SQL Server 2017. Perform end-to-end data analysis to gain efficient data insight Hands-On Data Science with SQL Server 2017. Perform end-to-end data analysis to gain efficient data insight
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Julia, with its dynamic nature and high-performance, provides comparatively minimal time for the development of computational models with easy-tomaintain computational code. This book will be your solution-based guide as it will take you through different programming aspects with Julia.
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Julia 1.0 Programming Cookbook. Over 100 numerical and distributed computing recipes for your daily data science work?ow Julia 1.0 Programming Cookbook. Over 100 numerical and distributed computing recipes for your daily data science work?ow
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Mastering Matplotlib covers the use cases and encounter unusual cases that requires more powerful tools. With the easy to follow examples and high end components of matplotlib, this book will enable to develop advanced and interactive plots using Python scripting and Matplotlib
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Mastering Matplotlib 2.x. Effective Data Visualization techniques with Python Mastering Matplotlib 2.x. Effective Data Visualization techniques with Python
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PostgreSQL is a rock-solid, scalable, and safe, enterprise-level relational database. With a broad range of features and stability it is ever increasing in popularity. The book shows you how to take advantages of PostgreSQL 11 features for Server-Side-Programming. Server-Side-Programming enables strong data encapsulation and coherence.
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PostgreSQL 11 Server Side Programming Quick Start Guide. Effective database programming and interaction PostgreSQL 11 Server Side Programming Quick Start Guide. Effective database programming and interaction
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Splunk is a leading platform and solution for collecting, searching, and extracting value from ever increasing amounts of big data – and big data is eating the world! This book covers all the crucial Splunk topics and gives you the information and examples to get the immediate job done. You will find enough insights to support further rese
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Splunk 7.x Quick Start Guide. Gain business data insights from operational intelligence Splunk 7.x Quick Start Guide. Gain business data insights from operational intelligence
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Apache Hadoop is a widely used distributed data platform. It enables large datasets to be efficiently processed instead of using one large computer to store and process the data. This book will get you started with the Hadoop ecosystem, and introduce you to the main technical topics such as MapReduce, YARN and HDFS.
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Apache Hadoop 3 Quick Start Guide. Learn about big data processing and analytics Apache Hadoop 3 Quick Start Guide. Learn about big data processing and analytics
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Applied Data Science with Python and Jupyter teaches you the skills you need for entry-level data science. You'll learn about some of the most commonly used libraries that are part of the Anaconda distribution, and then explore machine learning models with real datasets to give you the skills and exposure you need for the real world. You'll finish
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Applied Data Science with Python and Jupyter. Use powerful industry-standard tools to unlock new, actionable insights from your data Applied Data Science with Python and Jupyter. Use powerful industry-standard tools to unlock new, actionable insights from your data
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Choosing the right algorithm is often a key differentiator in the success or failure of a data model and its optimal performance. This book introduces you to 7 key machine learning algorithms which you can easily grasp within a week and includes exercises that will help you learn different aspects of machine learning without any hassle.
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Data Science Algorithms in a Week. Top 7 algorithms for scientific computing, data analysis, and machine learning - Second Edition Data Science Algorithms in a Week. Top 7 algorithms for scientific computing, data analysis, and machine learning - Second Edition
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Data analysis is a part of computer science and part statistics. An important part of data analysis is validating your assumptions with real-world data to see if there is a pattern or a particular user behavior that you can validate. This book will help you get up to speed with the basics of data analysis and approaches in the Haskell language.
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Getting Started with Haskell Data Analysis. Put your data analysis techniques to work and generate publication-ready visualizations Getting Started with Haskell Data Analysis. Put your data analysis techniques to work and generate publication-ready visualizations
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Python Fundamentals takes you from zero experience to a complete understanding of key concepts, edge cases, and using Python for real-world application development. You'll move progressively from the basics to working with larger complex applications. After completing this book, you'll have the skills you need to dive into an existing application o
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Python Fundamentals. A practical guide for learning Python, complete with real-world projects for you to explore Python Fundamentals. A practical guide for learning Python, complete with real-world projects for you to explore
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Web scraping is a technique to extract data from websites. It simulates the behavior of a website user to turn the website itself into a web service to retrieve or introduce new data. This book gives you all you need to get started with scraping web pages using R programming.
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R Web Scraping Quick Start Guide. Techniques and tools to crawl and scrape data from websites R Web Scraping Quick Start Guide. Techniques and tools to crawl and scrape data from websites