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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R offers a free and open source environment that is perfect for both learning and deploying predictive modeling solutions in the real world. With its constantly growing community and plethora of packages, R offers the functionality to deal with a truly vast array of problems. Updated with revamped examples and to the latest version of R, this book
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Mastering Predictive Analytics with R. Machine learning techniques for advanced models - Second Edition Mastering Predictive Analytics with R. Machine learning techniques for advanced models - Second Edition
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With real-world examples and clear explanations, this book will ensure you will have a thorough mastery Apache Storm.You’ll get an understanding of deploying Storm on clusters. Introduce yourself to topics such as trident topology, monitoring, Storm Parallelism, scheduler and log processing. Learn how to integrate Storm with other well-known
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Mastering Apache Storm. Real-time big data streaming using Kafka, Hbase and Redis Mastering Apache Storm. Real-time big data streaming using Kafka, Hbase and Redis
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Microsoft's launch of SQL Server on Linux has made SQL Server a truly versatile platform across different operating systems and data-types, both on-premise and on-cloud.You will start by understanding how SQL Server can be installed on supported and unsupported Linux distributions.With the help of this book you will be able to setup SQL Server on L
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SQL Server on Linux. Configuring and administering your SQL Server solution on Linux SQL Server on Linux. Configuring and administering your SQL Server solution on Linux
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Informatica PowerCenter Version 10 is one of the most popular enterprise data warehousing tools. From the developer’s perspective, this book covers everything you need to implement an end-to-end Informatica project, starting with working on various sources and targets such as files and databases. This book covers all the transformations in v
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Learning Informatica PowerCenter 10.x. Enterprise data warehousing and intelligent data centers for efficient data management solutions - Second Edition Learning Informatica PowerCenter 10.x. Enterprise data warehousing and intelligent data centers for efficient data management solutions - Second Edition
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This book will start with the basic statistical analysis on big data using java and would then build on other topics on analytics like classification, regression, clustering and ensembling. It would also cover advanced topics of recommendation engines, massive graph analytics, real time analytics and deep learning.
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Big Data Analytics with Java. Data analysis, visualization & machine learning techniques Big Data Analytics with Java. Data analysis, visualization & machine learning techniques
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This book will help you take your first steps in the world of data science. It will empower you to conduct data analysis and perform efficient machine learning using Python. You will gain value from your data using the various data mining and data analysis techniques in Python, and develop efficient predictive models to predict future results. You
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Hands-On Data Science and Python Machine Learning. Perform data mining and machine learning efficiently using Python and Spark Hands-On Data Science and Python Machine Learning. Perform data mining and machine learning efficiently using Python and Spark
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With deep learning going mainstream, making sense of data and getting accurate results using deep networks is possible. Dan Van Boxel is your guide to exploring the possibilities with deep learning; he will enable you to understand data like never before. With the efficiency and simplicity of TensorFlow, you will be able to process your data and ga
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Hands-On Deep Learning with TensorFlow. Uncover what is underneath your data! Hands-On Deep Learning with TensorFlow. Uncover what is underneath your data!
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Natural Language Processing is a field of computational linguistics and artificial intelligence that deals with human-computer interaction. The numbers of human-computer interaction instances are increasing so it’s becoming imperative that computers comprehend all major natural languages. Python's powerful tools and libraries are evolved so
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Python Natural Language Processing. Advanced machine learning and deep learning techniques for natural language processing Python Natural Language Processing. Advanced machine learning and deep learning techniques for natural language processing
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Social Media platforms such as Facebook, Twitter, Forums, Pinterest, and YouTube have become part of everyday life in a big way. However, these complex and noisy data streams pose a potent challenge to everyone when it comes to harnessing them properly and benefiting from them. This book will introduce you to the concept of social media analytics,
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Python Social Media Analytics. Analyze and visualize data from Twitter, YouTube, GitHub, and more Python Social Media Analytics. Analyze and visualize data from Twitter, YouTube, GitHub, and more
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Apache Spark is the buzzword in the big data industry right now, especially with the increasing need for real-time streaming and data processing. While Spark is built on Scala, the Spark Java API exposes all the Spark features available in the Scala version for Java developers. This book will show you how you can implement various functionalities o
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Apache Spark 2.x for Java Developers. Explore big data at scale using Apache Spark 2.x Java APIs Apache Spark 2.x for Java Developers. Explore big data at scale using Apache Spark 2.x Java APIs
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Apache Spark is an in-memory cluster-based parallel processing system that provides a wide range of functionality like graph processing, machine learning, stream processing and more. This book will familiarize you with the newest features in Apache Spark 2.x, and take you through an exciting journey of complex Big Data processing, analytics, stream
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Mastering Apache Spark 2.x. Advanced techniques in complex Big Data processing, streaming analytics and machine learning - Second Edition Mastering Apache Spark 2.x. Advanced techniques in complex Big Data processing, streaming analytics and machine learning - Second Edition
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Over the last few years, Scala has been adopted increasingly, especially in the field of data science and analytics, along with Apache Spark, which is built on Scala and is widely used in the field of analytics. With this book, you’ll learn how to leverage the power of both Scala and Spark to make sense of big data.
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Scala and Spark for Big Data Analytics. Explore the concepts of functional programming, data streaming, and machine learning Scala and Spark for Big Data Analytics. Explore the concepts of functional programming, data streaming, and machine learning
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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 the field of Machine Learning. A few famous algorithms that are covered in this book are Linear regression, Logistic Regression, SVM, Naïve Bayes,
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Machine Learning Algorithms. A reference guide to popular algorithms for data science and machine learning Machine Learning Algorithms. A reference guide to popular algorithms for data science and machine learning
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This book examines machine learning models including k-nearest neighbors, logistic regression, naive Bayes, random forests, and support vector machines. You will work through document classification, image recognition, and other example problems.
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Mastering Machine Learning with scikit-learn. Apply effective learning algorithms to real-world problems using scikit-learn - Second Edition Mastering Machine Learning with scikit-learn. Apply effective learning algorithms to real-world problems using scikit-learn - Second Edition
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This book will teach you all it takes to perform complex statistical computations required for Machine Learning. You will gain information on statistics behind supervised learning, unsupervised learning, reinforcement learning, and more. Understand the real-world examples that discuss the statistical side of Machine Learning and familiarize yoursel
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Statistics for Machine Learning. Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R Statistics for Machine Learning. Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R
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Master key Java machine learning libraries and their applications with the help of real-world case studies. Explore advanced machine learning techniques such as anomaly detection, stream learning, active learning, semi-supervised learning, probabilistic graph modeling, text mining, deep learning, and big data batch and stream machine learning.
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Mastering Java Machine Learning. A Java developer's guide to implementing machine learning and big data architectures Mastering Java Machine Learning. A Java developer's guide to implementing machine learning and big data architectures
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SAP Analytics Cloud (formerly known as SAP BusinessObjects Cloud) is a cloud-based BI platform being delivered under SaaS terms. It is a business intelligence, planning, and predictive cloud-based application, which helps users blend data from different sources, create compelling data visualization, run ad hoc reporting, and more.
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Learning SAP Analytics Cloud. Collaborate, predict and solve business intelligence problems with cloud computing Learning SAP Analytics Cloud. Collaborate, predict and solve business intelligence problems with cloud computing
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In this course, we cover the basic as well as advanced data science concepts and how they are implemented using the popular Java tools and libraries. Throughout this course, the chapters will illustrate a challenging data science problem, and then go on to present a comprehensive, Java-based solution to tackle that problem.By the end of this course
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Java: Data Science Made Easy. Data collection, processing, analysis, and more Java: Data Science Made Easy. Data collection, processing, analysis, and more
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Frank Kane’s Taming Big Data with Apache Spark and Python is your companion to learning Apache Spark in a hands-on manner. Frank will start you off by teaching you how to set up Spark on a single system or on a cluster, and you’ll soon move on to analyzing large data sets using Spark RDD, and developing and running effective Spark jo
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Frank Kane's Taming Big Data with Apache Spark and Python. Real-world examples to help you analyze large datasets with Apache Spark Frank Kane's Taming Big Data with Apache Spark and Python. Real-world examples to help you analyze large datasets with Apache Spark
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Elasticsearch is a Lucene-based search and analytics engine for distributed search and analytics. This book will be your hands-on guide as you explore and put to use the features of Elasticsearch 5.x.
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Learning Elasticsearch. Structured and unstructured data using distributed real-time search and analytics Learning Elasticsearch. Structured and unstructured data using distributed real-time search and analytics
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Pandas is a popular Python package used for practical, real world data analysis. It provides efficient fast, high-performance data structures that makes data exploration and analysis very easy. This learner's guide will help you through a comprehensive set of features provided by the pandas library to perform efficient data manipulation and analysi
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Learning pandas. High performance data manipulation and analysis using Python - Second Edition Learning pandas. High performance data manipulation and analysis using Python - Second Edition
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This book teaches six specific steps needed to implement predictive analytics using R. It also teaches how team collaboration is critical and how it increases the chances of implementing a successful model. The book uses cases from healthcare, marketing, and government to build practical skills. Big Data is also covered, in this book, which will ex
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Practical Predictive Analytics. Analyse current and historical data to predict future trends using R, Spark, and more Practical Predictive Analytics. Analyse current and historical data to predict future trends using R, Spark, and more
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Python is a free and powerful tool used for quantitative finance and is a popular choice amongst many financial analysts. This book will teach you the basics of quantitative finance, and how they can be implemented by making use of the various Python libraries and modules.This book introduces you to the basic concepts and operations related to Pyth
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Python for Finance. Apply powerful finance models and quantitative analysis with Python - Second Edition Python for Finance. Apply powerful finance models and quantitative analysis with Python - Second Edition
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As an increasing amount of data is generated each year, and the need to analyze and operationalize it is more important than ever. Companies that know what to do with their data have a competitive advantage over companies that don't. This drives a higher demand for knowledgeable and competent data professionals. By sequentially working through the
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Practical Data Science Cookbook. Data pre-processing, analysis and visualization using R and Python - Second Edition Practical Data Science Cookbook. Data pre-processing, analysis and visualization using R and Python - Second Edition
Prabhanjan Narayanachar Tattar, Bhushan Purushottam Joshi, Sean Patrick Murphy, ABHIJIT DASGUPTA, Anthony Ojeda
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R: Mining spatial, text, web, and social media data. Create and customize data mining algorithms R: Mining spatial, text, web, and social media data. Create and customize data mining algorithms
Nathan H. Danneman, Richard Heimann, Pradeepta Mishra, Bater Makhabel
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The most commonly used GIS tools automate tasks that were historically done manually—compiling new maps by overlaying one on top of the other or physically cutting maps into pieces representing specific study areas, changing their projection, and getting meaningful results from the various layers by applying mathematical functions and operat
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Practical GIS. Learn novice to advanced topics such as QGIS, Spatial data analysis, and more Practical GIS. Learn novice to advanced topics such as QGIS, Spatial data analysis, and more
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Apache Spark has become the hottest platform and sought after skill set when it comes to the fields of Big Data, Analytics and Data Science. Apache Spark 2.x comes with series of new improvements in the areas of performance, scalability, operational and production readiness for structured processing of massive datasets. This book brings in a system
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Apache Spark 2.x Cookbook. Over 70 cloud-ready recipes for distributed Big Data processing and analytics Apache Spark 2.x Cookbook. Over 70 cloud-ready recipes for distributed Big Data processing and analytics
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The term 'Data Lake' has recently emerged as a prominent term in the big data industry. Data scientists can make use of it in deriving meaningful insights which can be used by businesses to redefine or transform the way they operate. Lambda architecture is also emerging as one of the very eminent patterns in the big data landscape, as it helps to d
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Data Lake for Enterprises. Lambda Architecture for building enterprise data systems Data Lake for Enterprises. Lambda Architecture for building enterprise data systems
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PostGIS is an open source spatial database system that offers a wider array of spatial analysis function and representation of geometric data types to databases. This book offers a tailored approach to practice common and most complex geo-processing tasks experts do with ease to design efficient GIS systems. Through the course of the book, not only
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Mastering PostGIS. Modern ways to create, analyze, and implement spatial data Mastering PostGIS. Modern ways to create, analyze, and implement spatial data
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Python: End-to-end Data Analysis. Leverage the power of Python to clean, scrape, analyze, and visualize your data Python: End-to-end Data Analysis. Leverage the power of Python to clean, scrape, analyze, and visualize your data
Ivan Idris, Luiz Felipe Martins, Martin Czygan, Phuong Vo.T.H, Magnus Vilhelm Persson
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Data science and machine learning are some of the top buzzwords in the technical world today. A re-surging interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. This book is your entry point to machine learning. Through this book, you will learn to apply the concepts of mach
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Python Machine Learning By Example. The easiest way to get into machine learning Python Machine Learning By Example. The easiest way to get into machine learning
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PostgreSQL is an open source database management tool used for handling large datasets (big data) and as a JSON document database. It also has applications in the software and web domains. This book will enable you to build better PostgreSQL applications and administer databases more efficiently.
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Mastering PostgreSQL 9.6. A comprehensive guide for PostgreSQL 9.6 developers and administrators Mastering PostgreSQL 9.6. A comprehensive guide for PostgreSQL 9.6 developers and administrators
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This book is the ultimate guide to using latest features of Python 3.x to scrape data from websites. Learn right from extracting data from static web pages to creating class-based scrapers with Scrapy libraries. This book will also help you build crawlers and determine how to scrape data from JavaScript dependent website using PyQt and Selenium. Yo
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Python Web Scraping. Hands-on data scraping and crawling using PyQT, Selnium, HTML and Python - Second Edition Python Web Scraping. Hands-on data scraping and crawling using PyQT, Selnium, HTML and Python - Second Edition
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A practical and use case driven approach to Hadoop administration with coverage on a vast array of topics including Hadoop cluster installation, performance tuning, cluster planning, security, and much more. This book covers Hadoop from the perspective of running clusters in critical and large environments with complex data and at scale.
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Hadoop 2.x Administration Cookbook. Administer and maintain large Apache Hadoop clusters Hadoop 2.x Administration Cookbook. Administer and maintain large Apache Hadoop clusters
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Dive into the world of social media and learn the art and science behind leveraging the power of R and analytics to transform data into actionable insights. This book will provide you with strategies and hands-on approaches to tap into data from diverse social media platforms and showcase the power of leveraging analytics to get insightful informat
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Learning Social Media Analytics with R. Transform data from social media platforms into actionable business insights Learning Social Media Analytics with R. Transform data from social media platforms into actionable business insights
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Want to get started with impressive interactive visualizations and implement them in your daily tasks? This book offers the perfect solution-D3.js. It has emerged as the most popular tool for data visualization. This book will teach you how to implement the features of the latest version of D3 while writing JavaScript using the newest tools and te
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D3.js 4.x Data Visualization. Learn to visualize your data with JavaScript - Third Edition D3.js 4.x Data Visualization. Learn to visualize your data with JavaScript - Third Edition
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Spark ML is the machine learning module of Spark. It uses in-memory RDDs to process machine learning models faster for clustering, classification, and regression.
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Machine Learning with Spark. Develop intelligent, distributed machine learning systems - Second Edition Machine Learning with Spark. Develop intelligent, distributed machine learning systems - Second Edition
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This is a project-based guide to teach you what Blockchain is, how it maintains data integrity, and how to create real-world Blockchain projects using Ethereum. With interesting real-world projects, you will know about bitcoin, generating smart and secure contracts with Ethereum, building end-to-end applications for Blockchain.
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Building Blockchain Projects. Building decentralized Blockchain applications with Ethereum and Solidity Building Blockchain Projects. Building decentralized Blockchain applications with Ethereum and Solidity
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The next step in the information age is to gain insights from the deluge of data coming our way. Data mining provides a way of finding these insights, and Python is one of the most popular languages for data mining because it provides both power and flexibility in analysis.
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Learning Data Mining with Python. Use Python to manipulate data and build predictive models - Second Edition Learning Data Mining with Python. Use Python to manipulate data and build predictive models - Second Edition
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Java is the most wide-spread programming language nowadays, and you fill find it everywhere, from small startup companies to large enterprises. It is also a common choice for developing Data Science applications thanks to Java's prevalence and rich data processing toolbox.This book will explain how to use Java for Data Science, overview the availab
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Mastering Java for Data Science. Analytics and more for production-ready applications Mastering Java for Data Science. Analytics and more for production-ready applications
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Keras is a high-level neural network library written in Python that runs on top of either Theano or TensorFlow. With this book, you’ll learn the basics of Keras in a highly practical way and understand how this minimal, highly modular framework runs on both CPU and GPU, allowing you to put your ideas into action in the shortest possible time
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Deep Learning with Keras. Implementing deep learning models and neural networks with the power of Python Deep Learning with Keras. Implementing deep learning models and neural networks with the power of Python
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ArcGIS comes with a wide range of spatial analytical capabilities such as terrain analysis, interpolation, map algebra, neighborhood statistics, segmentation, classification and much more. This book uncovers such techniques with using real-world examples. With the help of step by step tutorials gain practical skills in geospatial data mining, visua
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Spatial Analytics with ArcGIS. Build powerful insights with spatial analytics Spatial Analytics with ArcGIS. Build powerful insights with spatial analytics
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Amazon has strongly evolved as a strong leader in the arenas of enterprise AI and machine learning. Through this book you'll learn how Amazon Machine learning services makes it easy for developers to implement machine learning models without the need of creating lengthy lines of code for ML algorithms. You will learn to leverage Amazon's Web Servi
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Effective Amazon Machine Learning. Expert web services for machine learning on cloud Effective Amazon Machine Learning. Expert web services for machine learning on cloud
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Apache Cassandra is second generation distributed NoSQL database and a popular choice for enterprises across the globe for it scalable and customizable features. This book offers you a steady learning path to understand its capabilities and develop skills to build highly reliable big data applications. This edition comes with examples to implement
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Learning Apache Cassandra. Managing fault-tolerant, scalable data with high performance - Second Edition Learning Apache Cassandra. Managing fault-tolerant, scalable data with high performance - Second Edition
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Machine learning is concerned with algorithms for transforming data into actionable intelligence and predictive analytics. Deep learning is a branch of machine learning based on multiple levels of representations. This book introduces the core concepts of deep learning using the latest version of TensorFlow to get implementation and research detail
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Deep Learning with TensorFlow. Explore neural networks with Python Deep Learning with TensorFlow. Explore neural networks with Python
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Machine learning is the field of Artificial Intelligence where we build systems that learn from data. Given the growing prominence of R—a cross-platform, zero-cost statistical programming environment—there has never been a better time to start applying machine learning to your data. This book will teach you advanced techniques in mach
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Mastering Machine Learning with R. Advanced prediction, algorithms, and learning methods with R 3.x - Second Edition Mastering Machine Learning with R. Advanced prediction, algorithms, and learning methods with R 3.x - Second Edition
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Machine learning is the new BLACK GOLD. In this book, we explore topics such as classification, clustering, model selection and regularization, nonlinearity, supervised, unsupervised, and reinforcement learning, structured prediction, neural networks, deep learning, and case studies. The algorithms are developed using R.The book is for students and
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Practical Machine Learning Cookbook. Supervised and unsupervised machine learning simplified Practical Machine Learning Cookbook. Supervised and unsupervised machine learning simplified
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Data analysis is the process of applying logical and analytical reasoning in order to study each data component. Python's powerful standard libraries or toolkits, such as Pylearn2 and Hebel, offer a fast, reliable, cross-platform environment for data analytics. This learning path will start with basic data analysis and you will then will gradually
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Python: Data Analytics and Visualization. Perform data processing and analysis with the help of python libraries, gain practical insights into predictive modeling and generate effective results in a variety of visually appealing charts using the plotting packages in Python Python: Data Analytics and Visualization. Perform data processing and analysis with the help of python libraries, gain practical insights into predictive modeling and generate effective results in a variety of visually appealing charts using the plotting packages in Python
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Placing the reader in the position of a commercial data scientist, this book covers the key attributes to solve real-world problems in areas such as music, financial markets, and global news. Introducing advanced techniques in Spark, it also comprehensively explores the surrounding eco-system with innovative and scalable solutions throughout
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Mastering Spark for Data Science. Lightning fast and scalable data science solutions Mastering Spark for Data Science. Lightning fast and scalable data science solutions
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This book will guide you to enhance your database’s performance and give you insights into measuring and optimizing a PostgreSQL database to achieve better performance. You will be a able to perform various essential database tasks such as bench marking the database and optimizing the server’s memory usage. This book will also help yo
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PostgreSQL High Performance Cookbook. Mastering query optimization, database monitoring, and performance-tuning for PostgreSQL PostgreSQL High Performance Cookbook. Mastering query optimization, database monitoring, and performance-tuning for PostgreSQL
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Java has been one of the most popular languages for developers for several decades and yet the potential of the Java ecosystem still remains untapped when it comes to using JVM-based languages and platforms to solve data science related problems. A variety of tools and libraries are available such as Spark, Hadoop, and Mahout for computation and li
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Java Data Science Cookbook. Explore the power of MLlib, DL4j, Weka, and more Java Data Science Cookbook. Explore the power of MLlib, DL4j, Weka, and more
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Apache Spark is one of the most popular Big Data processing frameworks today, delivering speed, accuracy and real-time results – all in one solution. With this book, you will delve into the world of Apache Spark and learn about the new features introduced in Spark 2, along with the architecture and the associated concepts. A comprehensive gu
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Learning Apache Spark 2. A beginner’s guide to real-time Big Data processing using the Apache Spark framework Learning Apache Spark 2. A beginner’s guide to real-time Big Data processing using the Apache Spark framework
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This book will show data analysis tasks, ranging from data retrieval, cleaning, manipulation, visualization, and storage to complex analysis and modeling using a variety of modules such as NumPy, SciPy, matplotlib, pandas, scikit-learn, and NLTK. You will be able to analyze different kinds of data including numeric, text, time-series, graph, and so
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Python Data Analysis. Data manipulation and complex data analysis with Python - Second Edition Python Data Analysis. Data manipulation and complex data analysis with Python - Second Edition
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This book covers applications of quantitative finance in R. It starts with the basics of quantitative finance and goes to complexity at the end of the book along with a varying degree of R complexity. This will guide you to implement different trading strategies for various financial instruments using basic to complex techniques along with its opti
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Learning Quantitative Finance with R. Implement machine learning, time-series analysis, algorithmic trading and more Learning Quantitative Finance with R. Implement machine learning, time-series analysis, algorithmic trading and more
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Blockchain is a distributed database that enables permanent, transparent, and secure storage of data. Mastering Blockchain is a comprehensive guide to this leading, cutting-edge technology and its implementation in the real world.
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Mastering Blockchain. Deeper insights into decentralization, cryptography, Bitcoin, and popular Blockchain frameworks Mastering Blockchain. Deeper insights into decentralization, cryptography, Bitcoin, and popular Blockchain frameworks
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Effective Business Intelligence with QuickSight. Boost your business IQ with Amazon QuickSight Effective Business Intelligence with QuickSight. Boost your business IQ with Amazon QuickSight
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Uncover new approaches to big data visualization to make your analysis more effective and efficient with Big Data Visualization. Featuring in-depth coverage of big data analysis concepts together with industry-proven techniques, you?ll learn how to approach the challenge of big data visualization with confidence, ease and precision.
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Big Data Visualization. Bring scalability and dynamics to your Big Data visualization Big Data Visualization. Bring scalability and dynamics to your Big Data visualization
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Bring data to life using D3.js, the hottest and most powerful web-based data visualization technology on the market today. This second edition cookbook features code samples, helpful illustrations, and over 65 practical recipes to learn from so you can create amazing data visualization with precision and professional efficiency.
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Data Visualization with D3 4.x Cookbook. Visualization Strategies for Tackling Dirty Data - Second Edition Data Visualization with D3 4.x Cookbook. Visualization Strategies for Tackling Dirty Data - Second Edition
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Mastering Elastic Stack. Dive into data analysis with a pursuit of mastering ELK Stack on real-world scenarios Mastering Elastic Stack. Dive into data analysis with a pursuit of mastering ELK Stack on real-world scenarios
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QGIS:Becoming a GIS Power User. Master data management, visualization, and spatial analysis techniques in QGIS and become a GIS power user QGIS:Becoming a GIS Power User. Master data management, visualization, and spatial analysis techniques in QGIS and become a GIS power user
Ben Mearns, Alex Mandel, Alexander Bruy, Anita Graser, Víctor Olaya Ferrero
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Splunk: Enterprise Operational Intelligence Delivered. Machine data made accessible Splunk: Enterprise Operational Intelligence Delivered. Machine data made accessible
Derek Mock, Betsy Page Sigman, Paul R. Johnson, Erickson Delgado, Josh Diakun, Ashish Kumar Tulsiram Yadav
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This book will get you to grips with the Spark Python API. You’ll explore how Python can be used with Spark to build scalable and reliable data-intensive applications.
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Go Design Patterns. Best practices in software development and CSP Go Design Patterns. Best practices in software development and CSP
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Scala: Guide for Data Science Professionals. Build robust data pipelines with Scala Scala: Guide for Data Science Professionals. Build robust data pipelines with Scala
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This book will help you leverage Elasticsearch, guiding you through everything from writing and creating customized plugins to extend Elasticsearch to tackling challenges while handling relational data in Elasticsearch. You’ll learn with the help of practical examples in a step-by-step way.
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Mastering Elasticsearch 5.x. Master the intricacies of Elasticsearch 5 and use it to create flexible and scalable search solutions - Third Edition Mastering Elasticsearch 5.x. Master the intricacies of Elasticsearch 5 and use it to create flexible and scalable search solutions - Third Edition
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Deep Learning with Hadoop. Distributed Deep Learning with Large-Scale Data Deep Learning with Hadoop. Distributed Deep Learning with Large-Scale Data
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Learning Kibana 5.0. Exploit the visualization capabilities of Kibana and build powerful interactive dashboards Learning Kibana 5.0. Exploit the visualization capabilities of Kibana and build powerful interactive dashboards
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This book is designed to guide you through TensorFlow and how to use it effectively. You’ll be able to apply it for complex data computations, gain insights into your data, and more. Throughout the book, you’ll work through the recipes and get hands-on experience.
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TensorFlow Machine Learning Cookbook. Over 60 practical recipes to help you master Google’s TensorFlow machine learning library TensorFlow Machine Learning Cookbook. Over 60 practical recipes to help you master Google’s TensorFlow machine learning library
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Elasticsearch 5.x Cookbook. Distributed Search and Analytics - Third Edition Elasticsearch 5.x Cookbook. Distributed Search and Analytics - Third Edition
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Harness the incredible power of Java-based approaches to data science and create new, innovative applications to explore, visualise and analyse big data. With its tutorial approach and step-by-step instructional style, Java for Data Science is the ultimate data science book for Java developers interested in Java-based data science solutions.
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Java for Data Science. Examine the techniques and Java tools supporting the growing field of data science Java for Data Science. Examine the techniques and Java tools supporting the growing field of data science
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This book will get you up to speed with text mining using R. You will explore essential techniques, along with understanding how to create text-processing apps with R.
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Mastering Text Mining with R. Extract and recognize your text data Mastering Text Mining with R. Extract and recognize your text data
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Tableau Cookbook - Recipes for Data Visualization. Click here to enter text Tableau Cookbook - Recipes for Data Visualization. Click here to enter text
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Explore how Python can be applied in scientific computing in Scientific Computing with Python 3. You’ll understand how to implement mathematics with Python, while covering key concepts, useful examples, and expert techniques.
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Scientific Computing with Python 3. Click here to enter text Scientific Computing with Python 3. Click here to enter text
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Apache Spark for Data Science Cookbook. Solve real-world analytical problems Apache Spark for Data Science Cookbook. Solve real-world analytical problems
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Fast Data Processing Systems with SMACK Stack. Click here to enter text Fast Data Processing Systems with SMACK Stack. Click here to enter text
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Practical Business Intelligence. Optimize Business Intelligence for Efficient Data Analysis Practical Business Intelligence. Optimize Business Intelligence for Efficient Data Analysis
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Mastering RethinkDB. Master the skills of building real-time apps dramatically easier with open source, scalable database - RethinkDB Mastering RethinkDB. Master the skills of building real-time apps dramatically easier with open source, scalable database - RethinkDB
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Principles of Data Science. Mathematical techniques and theory to succeed in data-driven industries Principles of Data Science. Mathematical techniques and theory to succeed in data-driven industries
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Learning Jupyter. Select, Share, Interact and Integrate with Jupyter Not Learning Jupyter. Select, Share, Interact and Integrate with Jupyter Not
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Discover a wide variety of independent recipes to harness the power of Tableau 10 for data analysis. This cookbook will help you develop the skills and confidence you need to draw valuable insights from your data and communicate effectively using compelling interactive charts, dashboards, and stories in Tableau.
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Tableau 10 Business Intelligence Cookbook. Create powerful, effective visualizations with Tableau 10 Tableau 10 Business Intelligence Cookbook. Create powerful, effective visualizations with Tableau 10
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With this book, you’ll explore Bayesian data analysis, covering the essential concepts, creating probabilistic models using the Python library PyMC3, understanding how different models can be used to answer different data analysis questions, and more. You’ll gain hands-on knowledge as you work through sample problems and practice exer
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Bayesian Analysis with Python. Click here to enter text Bayesian Analysis with Python. Click here to enter text
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R: Recipes for Analysis, Visualization and Machine Learning. Click here to enter text R: Recipes for Analysis, Visualization and Machine Learning. Click here to enter text
Shanthi Viswanathan, Atmajitsinh Gohil, Viswa Viswanathan, Yu-Wei, Chiu (David Chiu)
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Python: Real World Machine Learning. Take your Python Machine learning skills to the next level Python: Real World Machine Learning. Take your Python Machine learning skills to the next level
Prateek Joshi, Luca Massaron, John Hearty, Alberto Boschetti, Bastiaan Sjardin
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Learning R Programming will take you through the language in a step-by-step manner. From basic types and data structures to the challenges of programming in R, this book covers all this and more!
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Learning R Programming. Language, tools, and practical techniques Learning R Programming. Language, tools, and practical techniques
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This book gets you up to speed with data science using Python. You’ll cover everything from manipulating and exploring data for solving data science problems through to optimizing your machine learning models for optimal performance. The book helps you learn effectively with the help of expert tips and techniques.
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Python Data Science Essentials. Learn the fundamentals of Data Science with Python - Second Edition Python Data Science Essentials. Learn the fundamentals of Data Science with Python - Second Edition
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Fast Data Processing with Spark 2. Accelerate your data for rapid insight - Third Edition Fast Data Processing with Spark 2. Accelerate your data for rapid insight - Third Edition
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R: Unleash Machine Learning Techniques. Smarter data analytics R: Unleash Machine Learning Techniques. Smarter data analytics
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Julia for Data Science. high-performance computing simplified Julia for Data Science. high-performance computing simplified
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Practical Data Analysis. Pandas, MongoDB, Apache Spark, and more - Second Edition Practical Data Analysis. Pandas, MongoDB, Apache Spark, and more - Second Edition
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Smart Internet of Things Projects. Click here to enter text Smart Internet of Things Projects. Click here to enter text
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Splunk Best Practices. Operational intelligent made simpler Splunk Best Practices. Operational intelligent made simpler
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Hadoop: Data Processing and Modelling. Data Processing and Modelling Hadoop: Data Processing and Modelling. Data Processing and Modelling
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Learning Splunk Web Framework. Create, extend and publish real time Splunk applications Learning Splunk Web Framework. Create, extend and publish real time Splunk applications
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Mastering Predictive Analytics with Python. Click here to enter text Mastering Predictive Analytics with Python. Click here to enter text
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Tableau: Creating Interactive Data Visualizations. Creating Interactive Data Visualizations Tableau: Creating Interactive Data Visualizations. Creating Interactive Data Visualizations
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Android High Performance Programming. Click here to enter text Android High Performance Programming. Click here to enter text
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Introduction to R for Business Intelligence. Profit optimization using data mining, data analysis, and Business Intelligence Introduction to R for Business Intelligence. Profit optimization using data mining, data analysis, and Business Intelligence
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Using the R programming language, you’ll be able to tackle big data challenges with the help of this book. The Big Data Analytics with R book guides you through the practical implementation of R, executing computational analyses on big data to extract meaningful results, and more in a hands-on way.
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Big Data Analytics with R. Leverage R Programming to uncover hidden patterns in your Big Data Big Data Analytics with R. Leverage R Programming to uncover hidden patterns in your Big Data
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Machine Learning for the Web. Gaining insight and intelligence from the internet with Python Machine Learning for the Web. Gaining insight and intelligence from the internet with Python
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In this book, you’ll understand how to use MicroStrategy 10 to develop enterprise business intelligence solutions effectively. From exploring different visualization techniques to designing mobile dashboards and more, Mastering Business Intelligence with MicroStrategy is a detailed guide to get you up to speed.
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Mastering Business Intelligence with MicroStrategy. Master Business Intelligence with Microstrategy 10 Mastering Business Intelligence with MicroStrategy. Master Business Intelligence with Microstrategy 10
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R for Data Science Cookbook. Over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques R for Data Science Cookbook. Over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques
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Smarter Decisions - The Intersection of Internet of Things and Decision Science. A comprehensive guide for solving IoT business problems using decision science Smarter Decisions - The Intersection of Internet of Things and Decision Science. A comprehensive guide for solving IoT business problems using decision science
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Advanced Machine Learning with Python. Solve challenging data science problems by mastering cutting-edge machine learning techniques in Python Advanced Machine Learning with Python. Solve challenging data science problems by mastering cutting-edge machine learning techniques in Python
Victor Marak, Nishant Shukla, John Hearty, Jeffery Yee, Man Chon (Kevin) U, Gavin Hackeling, Sarah Guido, Mikhail Korobov, Andreas Mueller, Aman Madaan
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Python Data Analysis Cookbook. Clean, scrape, analyze, and visualize data with the power of Python! Python Data Analysis Cookbook. Clean, scrape, analyze, and visualize data with the power of Python!
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Learning ArcGIS Runtime SDK for .NET. Build a GIS app Using ArcGIS Runtime SDK Learning ArcGIS Runtime SDK for .NET. Build a GIS app Using ArcGIS Runtime SDK
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This book gets you up to speed with the important and fundamental concepts in statistical modeling and simulation. Using real-world case studies, you’ll be able to learn effectively and apply your skills later in the real world.
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Simulation for Data Science with R. Effective Data-driven Decision Making Simulation for Data Science with R. Effective Data-driven Decision Making
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Mastering Scala Machine Learning. Advance your skills in efficient data analysis and data processing using the powerful tools of Scala, Spark, and Hadoop Mastering Scala Machine Learning. Advance your skills in efficient data analysis and data processing using the powerful tools of Scala, Spark, and Hadoop
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Mastering Python Data Analysis. Become an expert at using Python for advanced statistical analysis of data using real-world examples Mastering Python Data Analysis. Become an expert at using Python for advanced statistical analysis of data using real-world examples
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R: Data Analysis and Visualization. Click here to enter text R: Data Analysis and Visualization. Click here to enter text
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Explore various real-life scenarios where you can use machine learning. With the help of practical examples, this cookbook will help you to understand which algorithms to use in a given context.
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Python Machine Learning Cookbook. 100 recipes that teach you how to perform various machine learning tasks in the real world Python Machine Learning Cookbook. 100 recipes that teach you how to perform various machine learning tasks in the real world
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Python: Real-World Data Science. Real-World Data Science Python: Real-World Data Science. Real-World Data Science
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Splunk Operational Intelligence Cookbook. Transform Big Data into business-critical insights and rethink operational Intelligence with Splunk - Second Edition Splunk Operational Intelligence Cookbook. Transform Big Data into business-critical insights and rethink operational Intelligence with Splunk - Second Edition
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Mastering Parallel Programming with R. Master the robust features of R parallel programming to accelerate your data science computations Mastering Parallel Programming with R. Master the robust features of R parallel programming to accelerate your data science computations
Simon R. Chapple, Terence Sloan, Thorsten Forster, Eilidh Troup
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Apache Spark Machine Learning Blueprints. Develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide Apache Spark Machine Learning Blueprints. Develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide
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Learning Probabilistic Graphical Models in R. Familiarize yourself with probabilistic graphical models through real-world problems and illustrative code examples in R Learning Probabilistic Graphical Models in R. Familiarize yourself with probabilistic graphical models through real-world problems and illustrative code examples in R
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OpenStack Sahara Essentials. Integrate, deploy, rapidly configure, and successfully manage your own big data-intensive clusters in the cloud using OpenStack Sahara OpenStack Sahara Essentials. Integrate, deploy, rapidly configure, and successfully manage your own big data-intensive clusters in the cloud using OpenStack Sahara
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Hadoop Real-World Solutions Cookbook. Over 90 hands-on recipes to help you learn and master the intricacies of Apache Hadoop 2.X, YARN, Hive, Pig, Oozie, Flume, Sqoop, Apache Spark, and Mahout - Second Edition Hadoop Real-World Solutions Cookbook. Over 90 hands-on recipes to help you learn and master the intricacies of Apache Hadoop 2.X, YARN, Hive, Pig, Oozie, Flume, Sqoop, Apache Spark, and Mahout - Second Edition