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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This book includes 9 projects on building smart and practical AI-based systems. These projects cover solutions to different domain-specific problems in healthcare, e-commerce and more. With this book, you will apply different machine learning and deep learning techniques and learn how to build your own intelligent applications for smart predictions
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Intelligent Projects Using Python. 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras Intelligent Projects Using Python. 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras
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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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Machine Learning (ML) is transforming the way we understand and interact with the world around us. This book is a perfect guide for you to use the Python ecosystem to cover key domains in the machine learning. You will learn to implement advanced concepts and most used machine learning algorithms using complex datasets and optimized techniques.
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Python Machine Learning Blueprints. Put your machine learning concepts to the test by developing real-world smart projects - Second Edition Python Machine Learning Blueprints. Put your machine learning concepts to the test by developing real-world smart projects - Second 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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The purpose of the book is to help a machine learning practitioner gets hands-on experience in working with real-world data and apply modern machine learning algorithms. You will learn to implement each algorithm to a specific industry problem. It covers projects involving both supervised as well as unsupervised learning approaches.
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R Machine Learning Projects. Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5 R Machine Learning Projects. Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5
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Generative Adversarial Networks have opened up many new possibilities in the machine learning domain. This book is all you need to implement different types of GANs using TensorFlow and Keras, in order to provide optimized and efficient deep learning solutions.
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Generative Adversarial Networks Cookbook. Over 100 recipes to build generative models using Python, TensorFlow, and Keras Generative Adversarial Networks Cookbook. Over 100 recipes to build generative models using Python, TensorFlow, and Keras
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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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This book will help you build intelligent mobile applications for Android and iOS using machine learning. In the process, you will use popular machine learning toolkits such as TensorFlow Lite, Core ML, ML Kit and Fritz to build and deploy state-of-the-art machine learning models for mobile devices.
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Machine Learning for Mobile. Practical guide to building intelligent mobile applications powered by machine learning Machine Learning for Mobile. Practical guide to building intelligent mobile applications powered by machine learning
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Ripple uses blockchain technology to make international money transfer fast and efficient. Since it drastically reduces cost, it is widely accepted by financial institutions around the world. This book will help you with both theoretical and practical knowledge on how you can use the ripple technology. Since this book takes a hands-on approach, it
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Ripple Quick Start Guide. Get started with XRP and develop applications on Ripple's blockchain Ripple Quick Start Guide. Get started with XRP and develop applications on Ripple's blockchain
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This book demonstrates techniques to leverage the power of Python, OpenCV, and TensorFlow to solve problems in Computer Vision. This book also shows you how to build an application that can estimate human poses within images. You will also classify images and identify humans in videos, and then develop your own handwritten digit classifier.
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Computer Vision Projects with OpenCV and Python 3. Six end-to-end projects built using machine learning with OpenCV, Python, and TensorFlow Computer Vision Projects with OpenCV and Python 3. Six end-to-end projects built using machine learning with OpenCV, Python, and TensorFlow
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This book will teach you all the processes you need to build a predictive analytics solution: understanding the problem, preparing datasets, exploring relationships, model building, tuning, evaluation, and deployment. You'll earn to use Python and its data analytics ecosystem to implement the main techniques used in real-world projects.
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Hands-On Predictive Analytics with Python. Master the complete predictive analytics process, from problem definition to model deployment Hands-On Predictive Analytics with Python. Master the complete predictive analytics process, from problem definition to model deployment
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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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Julia offers a unique combination of performance and productivity and promises to change scientific computing as well as generic programming. It has C-like execution speed with excellent applications in multi-core, GPU, and cloud computing. Julia Programming Projects explains all this with the support of Julia v1.0.
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Julia Programming Projects. Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web Julia Programming Projects. Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web
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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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Big data modeling is very challenging to handle using traditional database modeling and management systems. This book will teach you how to model big data using the latest and more efficient tools such as ERWIN, ANACONDA (Python), and WEKA to model data.
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Hands-On Big Data Modeling. Effective database design techniques for data architects and business intelligence professionals Hands-On Big Data Modeling. Effective database design techniques for data architects and business intelligence professionals
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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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NLP in Python is among the most sought-after skills among data scientists. With code and relevant case studies, this book will show how you can use industry grade tools to implement NLP programs capable of learning from relevant data. We will explore many modern methods ranging from spaCy to word vectors that have reinvented NLP.
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Natural Language Processing with Python Quick Start Guide. Going from a Python developer to an effective Natural Language Processing Engineer Natural Language Processing with Python Quick Start Guide. Going from a Python developer to an effective Natural Language Processing Engineer
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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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Developers struggle to find an easy to follow learning resource for implementing Recurrent Neural Network(RNN) models. RNNs are the state-of-the-art model in deep learning for dealing with sequential data. From language translation to generating captions for an image, RNNs are used to continuously improve the results. This book will teach you the f
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Recurrent Neural Networks with Python Quick Start Guide. Sequential learning and language modeling with TensorFlow Recurrent Neural Networks with Python Quick Start Guide. Sequential learning and language modeling with TensorFlow
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This book will show you how to take advantage of TensorFlow’s most appealing features - simplicity, efficiency, and flexibility - in various scenarios. You will gain cutting-edge insights into using TensorFlow’s offerings for your problems and learn practical hacks to successfully implement real-world machine learning projects.
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TensorFlow Machine Learning Projects. Build 13 real-world projects with advanced numerical computations using the Python ecosystem TensorFlow Machine Learning Projects. Build 13 real-world projects with advanced numerical computations using the Python ecosystem
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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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This book covers advanced deep learning techniques to create successful AI. Using MLPs, CNNs, and RNNs as building blocks to more advanced techniques, you’ll study deep neural network architectures, Autoencoders, Generative Adversarial Networks (GANs), Variational AutoEncoders (VAEs), and Deep Reinforcement Learning (DRL) critical to many cu
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Advanced Deep Learning with Keras. Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more Advanced Deep Learning with Keras. Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more
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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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This book will empower you to apply Artificial Intelligence techniques to design applications for natural language processing, robotics, and other real-world use-cases. You will be able to develop, debug, deploy and optimize intelligent AI systems for self-driving cars, game playing, and much more.
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Hands-On Artificial Intelligence for Beginners. An introduction to AI concepts, algorithms, and their implementation Hands-On Artificial Intelligence for Beginners. An introduction to AI concepts, algorithms, and their implementation
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This book will teach you how advanced machine learning can be performed in the cloud in a very cheap way. You will learn more about Azure ML processes as an enterprise-ready methodology. By the end of this book, you will implement machine learning and artificial intelligence concepts in your model to solve real-world problems.
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Hands-On Machine Learning with Azure. Build powerful models with cognitive machine learning and artificial intelligence Hands-On Machine Learning with Azure. Build powerful models with cognitive machine learning and artificial intelligence
Thomas K Abraham, Parashar Shah, Jen Stirrup, Lauri Lehman, Anindita Basak
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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
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Machine Learning in the healthcare domain is booming because of its abilities to provide accurate and stabilized techniques. This book is packed with new methodologies to create efficient solutions for healthcare analytics. We will build five end-to-end projects to evaluate the efficiency of AI apps to carry out simple-to-complex healthcare analyti
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Machine Learning for Healthcare Analytics Projects. Build smart AI applications using neural network methodologies across the healthcare vertical market Machine Learning for Healthcare Analytics Projects. Build smart AI applications using neural network methodologies across the healthcare vertical market
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Scikit-learn is a robust machine learning library for the Python programming language. It provides a set of supervised and unsupervised learning algorithms. This book is the easiest way to learn how to deploy, optimize and evaluate all the important machine learning algorithms that scikit-learn provides.
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Machine Learning with scikit-learn Quick Start Guide. Classification, regression, and clustering techniques in Python Machine Learning with scikit-learn Quick Start Guide. Classification, regression, and clustering techniques in Python
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This book presents highly practical, ready to implement recipes on using Python's Matplotlib package for effective data visualization. It contains quick solutions to the common and not-so-common problems encountered while designing different types of visualizations, including histograms, bar plots, and other advanced charts.
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Matplotlib 3.0 Cookbook. Over 150 recipes to create highly detailed interactive visualizations using Python Matplotlib 3.0 Cookbook. Over 150 recipes to create highly detailed interactive visualizations using Python
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This book will give you a complete walkthrough of the process of developing basic to advanced practical examples based on neural networks with C#. From simple perceptrons through GRU’s, you’ll learn to understand and implement these technologies using the concepts you’ve learned. Explore methods to optimize and adapt neural net
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Hands-On Neural Network Programming with C#. Add powerful neural network capabilities to your C# enterprise applications Hands-On Neural Network Programming with C#. Add powerful neural network capabilities to your C# enterprise applications
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IBM Watson Projects demonstrate projects focused on cognitive computing & analytical capabilities of IBM Watson. You will explore designing smart business solutions and understand the effectiveness of a supply chain using projects including healthcare dialog system, sentimental analysis on social media, personalized recommendation systems and more.
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IBM Watson Projects. Eight exciting projects that put artificial intelligence into practice for optimal business performance IBM Watson Projects. Eight exciting projects that put artificial intelligence into practice for optimal business performance
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In this book, you will find a range of methods to improve the performance of almost any predictive model, from ensemble methods to dimensionality reduction and cross-validation. You will learn the tools to produce advanced predictive models. In addition, you will dive into the exiting field of Deep Learning using TensorFlow.
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Mastering Predictive Analytics with scikit-learn and TensorFlow. Implement machine learning techniques to build advanced predictive models using Python Mastering Predictive Analytics with scikit-learn and TensorFlow. Implement machine learning techniques to build advanced predictive models using Python
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Puppet is a configuration management system and a language, written for and by system administrators to manage a large number of systems efficiently and prevent configuration drifts. This book will address core challenges of using Puppet Enterprise at mastery level and covering the latest features in-depth with a relevance to real-world scenarios.
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Mastering Puppet 5. Optimize enterprise-grade environment performance with Puppet Mastering Puppet 5. Optimize enterprise-grade environment performance with Puppet
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Data exploration and visualization is vital to Business Intelligence, the backbone of almost every enterprise or organization. Redash is a querying and visualization tool developed to simplify how marketing and business development departments are exposed to data. If you want to learn to create interactive dashboards with Redash, explore different
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Redash v5 Quick Start Guide. Create and share interactive dashboards using Redash Redash v5 Quick Start Guide. Create and share interactive dashboards using Redash
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The age of AI brings the next transformation in modern UI, where human beings have credible and meaningful conversations with computers and modern appliances such as Alexa. Build cutting-edge AI voicebots and chatbots without needing deep technical knowledge, and learn key design aspects to make AI bots successful and convincing to humans. Industry
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Voicebot and Chatbot Design. Flexible conversational interfaces with Amazon Alexa, Google Home, and Facebook Messenger Voicebot and Chatbot Design. Flexible conversational interfaces with Amazon Alexa, Google Home, and Facebook Messenger
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When data is presented to you in a graphical or pictorial format, you can analyze it more effectively. This book begins by introducing you to basic concepts, such as grammar of graphics and geometric objects. It then goes on to explain these concepts in detail with examples. Once you are comfortable with basics, you can learn all about the advanced
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Applied Data Visualization with R and ggplot2. Create useful, elaborate, and visually appealing plots Applied Data Visualization with R and ggplot2. Create useful, elaborate, and visually appealing plots
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Tableau is one of the leading data visualization tools and regularly adds new functionalities to the product. This book will help you understand these new features with clear examples, and is also an excellent beginner's guide to start using Tableau in the most efficient way.
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Getting Started with Tableau 2018.x. Get up and running with the new features of Tableau 2018 for impactful data visualization Getting Started with Tableau 2018.x. Get up and running with the new features of Tableau 2018 for impactful data visualization
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MicroStrategy is an enterprise business intelligence application. It turns data into reports for making and executing key organization decisions. This book shows you how to implement Business Intelligence (BI) with MicroStrategy. It takes you from set up and configuring MicroStrategy to security and administration.
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MicroStrategy Quick Start Guide. Data analytics and visualizations for Business Intelligence MicroStrategy Quick Start Guide. Data analytics and visualizations for Business Intelligence
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MongoDB has grown to become the de facto NoSQL database with millions of users, from small start-ups to Fortune 500 companies. It can solve problems that are considered difficult, if not impossible, for aging RDBMS technologies. Written for version 4 of MongoDB, this book is the easiest way to get started with MongoDB.
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MongoDB 4 Quick Start Guide. Learn the skills you need to work with the world's most popular NoSQL database MongoDB 4 Quick Start Guide. Learn the skills you need to work with the world's most popular NoSQL database
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Python Data Science Essentials, Third Edition provides modern insight in setting up and performing data science operations effectively using the latest python tools and libraries. It builds faster governance on the most essential tasks such as data munging and pre-processing, along with all the techniques you require.
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Python Data Science Essentials. A practitioner’s guide covering essential data science principles, tools, and techniques - Third Edition Python Data Science Essentials. A practitioner’s guide covering essential data science principles, tools, and techniques - Third Edition
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D3.js is a JavaScript library that allows you to create graphs and data visualizations in the browser, with HTML, SVG, and CSS. This book will take you from the basics of D3.js, so that you can create your own interactive visualizations, to creating the most common graphs that you will encounter as a developer, scientist, statistician, or data scie
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D3.js Quick Start Guide. Create amazing, interactive visualizations in the browser with JavaScript D3.js Quick Start Guide. Create amazing, interactive visualizations in the browser with JavaScript
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This book will help you become familiar with HMMs and different inference algorithms by working on real-world problems. You will start with an introduction to the basic concepts of Markov chains, Markov processes and then delve deeper into understanding hidden Markov models and its types using practical examples.
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Hands-On Markov Models with Python. Implement probabilistic models for learning complex data sequences using the Python ecosystem Hands-On Markov Models with Python. Implement probabilistic models for learning complex data sequences using the Python ecosystem
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Data analysis is crucial to accurately predict the performance of an application. The book begins by getting you started with R, including basic programming and data import, data visualization, pivoting, merging, aggregating, and joins. Once you are comfortable with the basics, you can read ahead and learn all about data visualization and graphics.
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R Programming Fundamentals. Deal with data using various modeling techniques R Programming Fundamentals. Deal with data using various modeling techniques
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This book will help you build real-world decentralized blockchain applications highlighting the principles of peer-to-peer systems, smart contracts, interoperability, privacy and more. You will be aware of the process flow and the growing company needs so you can incorporate and scale them in your own enterprise
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Blockchain for Enterprise. Build scalable blockchain applications with privacy, interoperability, and permissioned features Blockchain for Enterprise. Build scalable blockchain applications with privacy, interoperability, and permissioned features
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Become a Python Data Analyst book introduces you to the mainstream libraries of Python’s Data Science stack. With proven examples and real-world datasets, this book teaches how to effectively perform data manipulation, visualize and analyze data patterns and brings you to the ladder of advanced topics like Predictive Analytics.
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Become a Python Data Analyst. Perform exploratory data analysis and gain insight into scientific computing using Python Become a Python Data Analyst. Perform exploratory data analysis and gain insight into scientific computing using Python
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SQL Server started to fully support data science only with its last two editions. If you are a professional from both worlds, SQL Server and data science, and interested in using SQL Server and Machine Learning Services for their projects, then this is the ideal book for you.
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Data Science with SQL Server Quick Start Guide. Integrate SQL Server with data science Data Science with SQL Server Quick Start Guide. Integrate SQL Server with data science
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Ethereum is an open-source, public, Blockchain-based distributed computing platform, and operating system featuring smart contract functionality which builds decentralized applications. If you want to get started with Ethereum and Solidity or you are among the many developers already working with this platform, this book is your one-stop guide.
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Ethereum Cookbook. Over 100 recipes covering Ethereum-based tokens, games, wallets, smart contracts, protocols, and Dapps Ethereum Cookbook. Over 100 recipes covering Ethereum-based tokens, games, wallets, smart contracts, protocols, and Dapps
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This book will give you a wide understanding of the principles that underpin layouts in Shiny applications. You will learn about styling using different methods, like bits of HTML added to a vanilla Shiny application, and HTML interfaces. You will also learn about dashboards, navigation bars, and interfaces in Shiny applications.
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Hands-On Dashboard Development with Shiny. A practical guide to building effective web applications and dashboards Hands-On Dashboard Development with Shiny. A practical guide to building effective web applications and dashboards
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The purpose of this book is two-fold, we focus on detailed coverage of deep learning and transfer learning, comparing and contrasting the two with easy-to-follow concepts and examples. The second area of focus is on real-world examples and research problems using TensorFlow, Keras and Python ecosystem with hands-on examples.
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Hands-On Transfer Learning with Python. Implement advanced deep learning and neural network models using TensorFlow and Keras Hands-On Transfer Learning with Python. Implement advanced deep learning and neural network models using TensorFlow and Keras
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Blockchain and Bitcoin are currently the talk of the town. This book will start with an introduction to the fundamental concepts of Blockchain and it will take you through its various features and challenges. By the end of this book, you will learn to implement the Blockchain technology for securing your cryptocurrency.
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Learn Bitcoin and Blockchain. Understanding blockchain and Bitcoin architecture to build decentralized applications Learn Bitcoin and Blockchain. Understanding blockchain and Bitcoin architecture to build decentralized applications
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Python is an object-oriented, scripting language that is used in wide range of categories. In software engineering, a design pattern is a recommended solution to a software design problem. Although not new, design patterns remain one of the hottest topics in software engineering and they come as a ready reference for software developers to solve th
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Mastering Python Design Patterns. A guide to creating smart, efficient, and reusable software - Second Edition Mastering Python Design Patterns. A guide to creating smart, efficient, and reusable software - Second Edition
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Machine learning explores the study and construction of algorithms that can learn from and make predictions on data. This book will act as an entry point for anyone who wants to make a career in Machine Learning. It covers algorithms like Linear regression, Logistic Regression, SVM, Naïve Bayes, K-Means, Random Forest, and Feature engineeri
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Machine Learning Algorithms. Popular algorithms for data science and machine learning - Second Edition Machine Learning Algorithms. Popular algorithms for data science and machine learning - Second Edition
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Pentaho Data Integration(PDI) is an intuitive and graphical environment packed with drag-and-drop design and powerful Extract-Transform-Load (ETL) capabilities. Given its power and flexibility, first attempts to use the Pentaho Data Integration tool can be difficult or confusing. This book is the ideal solution to that problem.
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Pentaho Data Integration Quick Start Guide. Create ETL processes using Pentaho Pentaho Data Integration Quick Start Guide. Create ETL processes using Pentaho
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An expert Qlik Sense user can use its features for business intelligence in an enterprise environment effectively. This book is for people who are looking to create fully featured desktop applications to gain additional business insights in the workplace. It also includes features added recently to Qlik Sense such as Aggr and Data stories.
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Qlik Sense Cookbook. Over 80 recipes on data analytics to solve business intelligence challenges - Second Edition Qlik Sense Cookbook. Over 80 recipes on data analytics to solve business intelligence challenges - Second Edition
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Convolutional Neural Networks (CNN) are one of the most popular architectures used in computer vision apps. This book is an introduction to CNNs through solving real-world problems in deep learning while teaching you their implementation in popular Python library - TensorFlow. By the end of the book, you will be training CNNs in no time!
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Hands-On Convolutional Neural Networks with TensorFlow. Solve computer vision problems with modeling in TensorFlow and Python Hands-On Convolutional Neural Networks with TensorFlow. Solve computer vision problems with modeling in TensorFlow and Python
Iffat Zafar, Giounona Tzanidou, Richard Burton, Nimesh Patel, Leonardo Araujo
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This book applies the core principles and ideas of Blockchain in your existing applications. You will understand the key areas of Blockchain architecture along with the challenges faced with an easy-to-follow guide. You will not only be able to solve current and future problems around Blockchain but also build efficient decentralized applications.
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Blockchain Quick Reference. A guide to exploring decentralized blockchain application development Blockchain Quick Reference. A guide to exploring decentralized blockchain application development
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In this book, you will come across various real-world projects which will teach you how to leverage Tensforflow’s capabilities to perform efficient image processing tasks. By the end of this book, you will have mastered all the concepts of deep learning for Images and their implementations with Tensorflow and Keras
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Hands-On Deep Learning for Images with TensorFlow. Build intelligent computer vision applications using TensorFlow and Keras Hands-On Deep Learning for Images with TensorFlow. Build intelligent computer vision applications using TensorFlow and Keras
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Walks through the hands-on process of building intelligent agents from the basics and all the way up to solving complex problems including playing Atari games and driving a car autonomously in the CARLA simulator. Discusses various learning environments and how to transform real-world problems into learning environments and solve using the agents.
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Hands-On Intelligent Agents with OpenAI Gym. Your guide to developing AI agents using deep reinforcement learning Hands-On Intelligent Agents with OpenAI Gym. Your guide to developing AI agents using deep reinforcement learning
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Recommendation systems are at the heart of almost every internet business today; from Facebook to Netflix to Amazon. Providing good recommendations, whether it's friends, movies or groceries, goes a long way in defining user experience and enticing your customers to use and buy from your platform. This book teaches you to do just that.
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Hands-On Recommendation Systems with Python. Start building powerful and personalized, recommendation engines with Python Hands-On Recommendation Systems with Python. Start building powerful and personalized, recommendation engines with Python
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Machine learning and analytics have been widely utilized across the healthcare sector of late. This book will bridge the gap between practicing doctors and you as a data scientist. You will learn how to work with healthcare data and gain better insight from this data to improve healthcare outcomes.
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Healthcare Analytics Made Simple. Techniques in healthcare computing using machine learning and Python Healthcare Analytics Made Simple. Techniques in healthcare computing using machine learning and Python
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Mastering Kibana 6.x provides a rundown explanation required for data visualization and analysis such as X-Pack features, Beats, and machine learning. You will be expert in creating analytics-driven visualizations from a web application. You will be a maestro in creating custom monitoring dashboard using Beats with various examples
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Mastering Kibana 6.x. Visualize your Elastic Stack data with histograms, maps, charts, and graphs Mastering Kibana 6.x. Visualize your Elastic Stack data with histograms, maps, charts, and graphs
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This book demonstrates AI projects in Python covering modern techniques that make up the world of Artificial Intelligence. You will come across a variety of real-world projects on classifying data, text processing techniques, deep learning and neural networks
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Python Artificial Intelligence Projects for Beginners. Get up and running with Artificial Intelligence using 8 smart and exciting AI applications Python Artificial Intelligence Projects for Beginners. Get up and running with Artificial Intelligence using 8 smart and exciting AI applications
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The future of user interfaces is moving away from touch based and mouse clicking web interfaces to voice and conversational based user interfaces. This book will take you on a journey from getting started with voice apps to building your very own smart assistants which not only understand voice commands but respond to them.
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Voice User Interface Projects. Build voice-enabled applications using Dialogflow for Google Home and Alexa Skills Kit for Amazon Echo Voice User Interface Projects. Build voice-enabled applications using Dialogflow for Google Home and Alexa Skills Kit for Amazon Echo
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Microsoft Power BI is a cloud-based service that helps you easily visualize and share insights from your organization's data. This book will get you started with Business Intelligence using the Power BI tool, covering essential concepts like installation, building basic dashboards and visualizations to make your data come to life.
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Microsoft Power BI Quick Start Guide. Build dashboards and visualizations to make your data come to life Microsoft Power BI Quick Start Guide. Build dashboards and visualizations to make your data come to life
Devin Knight, Brian Knight, Mitchell Pearson, Manuel Quintana
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This book introduces you to the concept of ensemble learning and demonstrates how different machine learning algorithms can be combined to build efficient machine learning models. Use R to implement the popular trilogy of ensemble techniques, i.e. bagging, random forest and boosting, to build faster and more accurate machine learning models.
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Hands-On Ensemble Learning with R. A beginner's guide to combining the power of machine learning algorithms using ensemble techniques Hands-On Ensemble Learning with R. A beginner's guide to combining the power of machine learning algorithms using ensemble techniques
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Facebook's fastText library handles text representation and classification, used for Natural Language Processing (NLP). Most organizations have to deal with enormous amounts of text data on a daily basis, and efficient data insights requires powerful NLP tools like fastText. This book is your ideal introduction to fastText.
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fastText Quick Start Guide. Get started with Facebook's library for text representation and classification fastText Quick Start Guide. Get started with Facebook's library for text representation and classification
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Ethereum enables the development of efficient, smart contracts that contain code. These smart contracts interact with other smart contracts to make decisions, store data, and send Ether to others. This book begins with an introduction to Ethereum and then a detailed step-by-step process required to building advanced Ethereum Projects.
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Ethereum Projects for Beginners. Build blockchain-based cryptocurrencies, smart contracts, and DApps Ethereum Projects for Beginners. Build blockchain-based cryptocurrencies, smart contracts, and DApps
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This book teaches you to leverage deep learning models in performing various NLP tasks along with showcasing the best practices in dealing with the NLP challenges. The book equips you with practical knowledge to implement deep learning in your linguistic applications using NLTk and Python's popular deep learning library, TensorFlow.
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Hands-On Natural Language Processing with Python. A practical guide to applying deep learning architectures to your NLP applications Hands-On Natural Language Processing with Python. A practical guide to applying deep learning architectures to your NLP applications
Rajesh Arumugam, Rajalingappaa Shanmugamani, Auguste Byiringiro, Chaitanya Joshi, Karthik Muthuswamy
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Apache Spark Deep Learning Cookbook presents useful tips and tricks to overcome any problem related to building efficient distributed deep learning applications on Apache Spark. With the help of this book, you will leverage powerful deep learning libraries such as TensorFlow to develop your models and ensure their optimum performance.
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Apache Spark Deep Learning Cookbook. Over 80 best practice recipes for the distributed training and deployment of neural networks using Keras and TensorFlow Apache Spark Deep Learning Cookbook. Over 80 best practice recipes for the distributed training and deployment of neural networks using Keras and TensorFlow
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In this book, you will explore two important Python packages used by Data Analysts, NumPy & pandas. You will dive into different concepts such as reading, sorting, grouping of data, and also learn how to work with different data formats for your data analysis projects.
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Hands-On Data Analysis with NumPy and Pandas. Implement Python packages from data manipulation to processing Hands-On Data Analysis with NumPy and Pandas. Implement Python packages from data manipulation to processing
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You will build full-fledged, deep learning applications with Java and different open-source libraries. Master numerical computing, deep learning, and the latest Java programming features to carry out complex advanced tasks. This book is filled with best practices/tips after every project to help you optimize your deep learning models with ease.
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Java Deep Learning Projects. Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs Java Deep Learning Projects. Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs
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Discover how you can perform your own modern text analysis, to make predictions, create inferences, and gain insights about the data around you today. Learn how to harness the powerful Python ecosystem and tools such as spaCy and Gensim to perform natural language processing, and computational linguistics algorithms.
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Natural Language Processing and Computational Linguistics. A practical guide to text analysis with Python, Gensim, spaCy, and Keras Natural Language Processing and Computational Linguistics. A practical guide to text analysis with Python, Gensim, spaCy, and Keras
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This cookbook presents recipes on leveraging the power of Python and putting it to use in the Apache Spark ecosystem. By the end of this book, you will be able to solve any problem associated with building effective, data-intensive applications and performing machine learning and structured streaming using PySpark.
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PySpark Cookbook. Over 60 recipes for implementing big data processing and analytics using Apache Spark and Python PySpark Cookbook. Over 60 recipes for implementing big data processing and analytics using Apache Spark and Python
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Despite the growing investment in cybersecurity, modern attackers manage to bypass advanced security systems. Blockchain and Hyperledger architecture provide a safer way of avoiding such attacks. This book will help you build blockchain-based apps for DDoS protection, PKI-based identity platform, Two-factor authentication and DNS Security platform.
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Hands-On Cybersecurity with Blockchain. Implement DDoS protection, PKI-based identity, 2FA, and DNS security using Blockchain Hands-On Cybersecurity with Blockchain. Implement DDoS protection, PKI-based identity, 2FA, and DNS security using Blockchain
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Reinforcement learning is a self-evolving type of machine learning that takes us closer to achieving true artificial intelligence. This easy-to-follow guide explains everything from scratch using rich examples written in Python.
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Hands-On Reinforcement Learning with Python. Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow Hands-On Reinforcement Learning with Python. Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow
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Mastering Numerical Computing with Python guides you in performing complex computing with cutting-edge coverage on advanced concepts such as exploratory data analysis and clustering algorithms. You'll become an expert in addressing matrix calculations, and write efficient NumPy codes for implementing algorithms with real-world examples.
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Mastering Numerical Computing with NumPy. Master scientific computing and perform complex operations with ease Mastering Numerical Computing with NumPy. Master scientific computing and perform complex operations with ease
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The primary responsibility of any Big Data architect is to design an end-to-end Big Data solution that integrates data from different sources and analyzes it to find hidden business insights. This book will show you how to do just that, by leveraging the popular tools within the Hadoop ecosystem to process, analyze and visualize your data
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Big Data Architect's Handbook. A guide to building proficiency in tools and systems used by leading big data experts Big Data Architect's Handbook. A guide to building proficiency in tools and systems used by leading big data experts
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This book is a developer-oriented introduction to deep reinforcement learning (RL). Explore RL concepts and discover how you can solve complex and challenging problems using deep learning. Apply deep RL methods to train your agent to beat arcade games and board games and navigate real-world environments, including the stock market.
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Deep Reinforcement Learning Hands-On. Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more Deep Reinforcement Learning Hands-On. Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
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With concrete exercises and examples this book will help you to understand how to deploy a Hyperledger Fabric network. It then proceeds to explain the steps in developing a full fledged decentralized application. You will not only learn how to plan, design and create private networks but also evolve the network as per organizational needs.
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Hands-On Blockchain with Hyperledger. Building decentralized applications with Hyperledger Fabric and Composer Hands-On Blockchain with Hyperledger. Building decentralized applications with Hyperledger Fabric and Composer
Nitin Gaur, Luc Desrosiers, Venkatraman Ramakrishna, Petr Novotny, Salman A. Baset, Anthony O'Dowd
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Adding a layer of interactivity to your plots and converting these plots into applications hold immense value in the field of data science. The standard approach to adding interactivity would be to use paid software such as Tableau, but the Bokeh package in Python offers users a way to create both interactive and visually aesthetic plots for free.
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Hands-On Data Visualization with Bokeh. Interactive web plotting for Python using Bokeh Hands-On Data Visualization with Bokeh. Interactive web plotting for Python using Bokeh
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Get to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course. 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. We'll fini
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Beginning Data Science with Python and Jupyter. Use powerful industry-standard tools within Jupyter and the Python ecosystem to unlock new, actionable insights from your data Beginning Data Science with Python and Jupyter. Use powerful industry-standard tools within Jupyter and the Python ecosystem to unlock new, actionable insights from your data
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Apache Hadoop is the most popular platform for big data processing to build powerful analytics solutions. This book shows you how to do just that, with the help of practical examples. You will be well-versed with the analytical capabilities of Hadoop ecosystem with Apache Spark and Apache Flink to perform big data analytics by the end of this book.
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Big Data Analytics with Hadoop 3. Build highly effective analytics solutions to gain valuable insight into your big data Big Data Analytics with Hadoop 3. Build highly effective analytics solutions to gain valuable insight into your big data
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Hands-On Data Science with Anaconda gets you started with Anaconda and demonstrates how you can use it to perform data science operations in the real world. You will learn different ways to retrieve data from various sources and different visualization tools packages available in Python, R, and Julia.
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Hands-On Data Science with Anaconda. Utilize the right mix of tools to create high-performance data science applications Hands-On Data Science with Anaconda. Utilize the right mix of tools to create high-performance data science applications
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Azure Data Factory (ADF) is a Microsoft Azure PaaS solution which supports data movement between many on premises and cloud data sources. This book covers custom tailored tutorials to help you develop , maintain and troubleshoot data movement processes and environments using Azure Data Factory V2 and SQL Server Integration Services 2017
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Hands-On Data Warehousing with Azure Data Factory. ETL techniques to load and transform data from various sources, both on-premises and on cloud Hands-On Data Warehousing with Azure Data Factory. ETL techniques to load and transform data from various sources, both on-premises and on cloud
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Implementing Oracle API Platform Cloud Service moves from theory to practice using the newest Oracle API management platform. This critical new platform for Oracle developers allows you to interface the complex array of services your clients expect in the modern world.
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Implementing Oracle API Platform Cloud Service. Design, deploy, and manage your APIs in Oracle’s new API Platform Implementing Oracle API Platform Cloud Service. Design, deploy, and manage your APIs in Oracle’s new API Platform
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Google Cloud AI enables you to consume Artificial Intelligence within your applications, from a REST API. Text, video and speech analysis are among the powerful machine learning features that can be used. This book is the easiest way to get started with the Google Cloud AI services suite and open up the world of smarter applications.
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Google Cloud AI Services Quick Start Guide. Build intelligent applications with Google Cloud AI services Google Cloud AI Services Quick Start Guide. Build intelligent applications with Google Cloud AI services
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SAS is the ground-breaking tool for advanced, predictive, and statistical analytics. Right from refining your data using power of SAS analytics, you will be able to exploit the capabilities of high-powered package to create accurate financial models. You can easily assess the pros and cons of models to suit unique business needs.
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SAS for Finance. Forecasting and data analysis techniques with real-world examples to build powerful financial models SAS for Finance. Forecasting and data analysis techniques with real-world examples to build powerful financial models
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This book demonstrates various machine learning techniques and their implementation in JavaScript. Build models to power your applications with smart, predictive features. From predicting future prices, analyzing sentiments to medical diagnosis, this book shows you how to use the power of JavaScript to build efficient machine learning systems.
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Hands-on Machine Learning with JavaScript. Solve complex computational web problems using machine learning Hands-on Machine Learning with JavaScript. Solve complex computational web problems using machine learning
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This book demonstrates the power of Splunk 7.x to offer you quick solutions and strategies to bring efficient operational intelligence in your organization. Implement a wide range of tasks in recipe format to perform operations on machine data. Learn to achieve intelligent data-driven way using machine learning capabilities to explore complex data.
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Splunk Operational Intelligence Cookbook. Over 80 recipes for transforming your data into business-critical insights using Splunk - Third Edition Splunk Operational Intelligence Cookbook. Over 80 recipes for transforming your data into business-critical insights using Splunk - Third Edition
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This book is your guide to quickly get to grips with the most widely used machine learning algorithms. As a data science professional, this book will help you design and train better machine learning models to solve a variety of complex problems, and make the machine learn your requirements.
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Mastering Machine Learning Algorithms. Expert techniques to implement popular machine learning algorithms and fine-tune your models Mastering Machine Learning Algorithms. Expert techniques to implement popular machine learning algorithms and fine-tune your models
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Create smart systems to extract intelligent insights for decision making. You will learn about widely used Artificial Intelligence techniques for carrying out solutions in a production-ready environment. You'll explore advanced topics such as clustering, symbolic and sub-symbolic information representation, and many more.
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Artificial Intelligence for Big Data. Complete guide to automating Big Data solutions using Artificial Intelligence techniques Artificial Intelligence for Big Data. Complete guide to automating Big Data solutions using Artificial Intelligence techniques
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In this book, you will learn how to create powerful machine learning based applications for a wide variety of problems leveraging different data services from the Google Cloud Platform. Finally, you will know the main difficulties that you may encounter and get appropriate strategies to overcome these difficulties and build efficient systems.
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Hands-On Machine Learning on Google Cloud Platform. Implementing smart and efficient analytics using Cloud ML Engine Hands-On Machine Learning on Google Cloud Platform. Implementing smart and efficient analytics using Cloud ML Engine
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Jupyter has garnered a strong interest in the data science community of late, as it makes common data processing and analysis tasks much simpler. This book is for data science professionals who want to master various tasks related to Jupyter to create efficient, easy-to-share applications related to data analysis and visualization.
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Jupyter Cookbook. Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more Jupyter Cookbook. Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more