Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools. As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.
Packt Publishing - ebooki
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PostgreSQL is increasingly utilized in all kind of applications, starting from desktop to web and mobile applications. In this book, you will find the best ways to design, monitor and maintain your PostgreSQL solution, with suggestions and tips for high performance, troubleshooting and high availability.
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PostgreSQL 10 High Performance. Expert techniques for query optimization, high availability, and efficient database maintenance - Third Edition PostgreSQL 10 High Performance. Expert techniques for query optimization, high availability, and efficient database maintenance - Third Edition
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Python comes with many libraries and tools that help you work on geoprocessing tasks without investing in expensive tools. This book introduces you to new libraries that perform geospatial and statistical analysis and data management. It uses examples that explain how Python v3 differs from v2, and solve age-old problems in geospatial analysis.
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Mastering Geospatial Analysis with Python. Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter Mastering Geospatial Analysis with Python. Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter
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This book helps machine learning professionals in developing AutoML systems that can be utilized to build ML solutions. This book covers the necessary foundations and shows the most practical ways possible to get to speed with regards to creating AutoML modules.
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Hands-On Automated Machine Learning. A beginner's guide to building automated machine learning systems using AutoML and Python Hands-On Automated Machine Learning. A beginner's guide to building automated machine learning systems using AutoML and Python
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Solidity is a new contract-oriented programming language popular for creating smart contracts and distributed applications. Writing smart contracts targeting Ethereum and other blockchain platforms is an emerging skill. This book will enable you to write robust, secure, object-oriented contracts that extend blockchain with business functionality.
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Solidity Programming Essentials. A beginner's guide to build smart contracts for Ethereum and blockchain Solidity Programming Essentials. A beginner's guide to build smart contracts for Ethereum and blockchain
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This book will deep-dive into the concept of analytics on the cloud with the design and business considerations. You will build an end-to-end analytics engine to perform smart analytics using machine learning and deep learning concepts. From ingestion to processing your data, this book contains the best practices using Google Cloud Platform.
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Cloud Analytics with Google Cloud Platform. An end-to-end guide to processing and analyzing big data using Google Cloud Platform Cloud Analytics with Google Cloud Platform. An end-to-end guide to processing and analyzing big data using Google Cloud Platform
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This book presents unique techniques to conquer different Big Data processing and analytics challenges using Hadoop. Practical examples are provided to boost your understanding of Big Data concepts and their implementation. By the end of the book, you will have all the knowledge and skills you need to become a true Big Data expert.
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Modern Big Data Processing with Hadoop. Expert techniques for architecting end-to-end big data solutions to get valuable insights Modern Big Data Processing with Hadoop. Expert techniques for architecting end-to-end big data solutions to get valuable insights
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This book will help you implement Splunk 7's new services and will show you how to utilize them to quickly and efficiently process machine-generated big data. You will explore Splunk Cloud and the Machine Learning Toolkit and use them with ease throughout your organization. By the end of the book, you will have learned to implement these services i
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Implementing Splunk 7. Effective operational intelligence to transform machine-generated data into valuable business insight - Third Edition Implementing Splunk 7. Effective operational intelligence to transform machine-generated data into valuable business insight - Third Edition
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This book will show you how to use Power BI effectively to create a variety of visualizations and BI dashboards. Right from gathering data through various data sources, you will learn to perform effective visual analytics. By the end of this book, you will be able to gain unique, hidden insights into your data using Microsoft Power BI.
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Mastering Microsoft Power BI. Expert techniques for effective data analytics and business intelligence Mastering Microsoft Power BI. Expert techniques for effective data analytics and business intelligence
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This book will help you understand the fundamentals of seven of the most popular NoSQL databases. You will see how the functionalities of each of them differ, while still giving you the same result - a database solution with speed, high performance, and accuracy.
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Seven NoSQL Databases in a Week. Get up and running with the fundamentals and functionalities of seven of the most popular NoSQL databases Seven NoSQL Databases in a Week. Get up and running with the fundamentals and functionalities of seven of the most popular NoSQL databases
Aaron Ploetz, Devram Kandhare, Sudarshan Kadambi, Xun (Brian) Wu
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This book is your guide to master deep learning with TensorFlow, with the help of 10 real-world projects. You will train high-performance models in TensorFlow to generate captions for images automatically, predict stocks' performance, create intelligent chatbots, perform large-scale text classification, develop recommendation systems, and more.
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TensorFlow Deep Learning Projects. 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning TensorFlow Deep Learning Projects. 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning
Abhishek Thakur, Alberto Boschetti, Luca Massaron, Alexey Grigorev, Rajalingappaa Shanmugamani
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AWK is one of the powerful utility which exists in all Unix and Unix-like distributions. This book covers the structure and the control flow of AWK program, regular expressions, and use of different operators to carry out various text processing and mining tasks. This book is packed with unique practical examples to practice AWK programming.
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Learning AWK Programming. A fast, and simple cutting-edge utility for text-processing on the Unix-like environment Learning AWK Programming. A fast, and simple cutting-edge utility for text-processing on the Unix-like environment
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This book is your one-stop guide to mastering Qlik Sense, catering for all your organizational BI needs. You'll see how you can seamlessly navigate through tons of organizational data from multiple sources and create smart visualizations that meet your unique business needs.
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Mastering Qlik Sense. Expert techniques on self-service data analytics to create enterprise ready Business Intelligence solutions Mastering Qlik Sense. Expert techniques on self-service data analytics to create enterprise ready Business Intelligence solutions
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Predictive analytics discovers hidden patterns from structured and unstructured data for automated decision making in business intelligence. Predictive decisions are becoming a huge trend worldwide, catering to wide industry sectors by predicting which decisions are more likely to give maximum results. TensorFlow, Google’s brainchild, is imm
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TensorFlow: Powerful Predictive Analytics with TensorFlow. Predict valuable insights of your data with TensorFlow TensorFlow: Powerful Predictive Analytics with TensorFlow. Predict valuable insights of your data with TensorFlow
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ArcGIS Pro is a geographic information system for working with maps and geographic information. Mapping with ArcGIS Pro will help readers create visually stunning maps that increase the legibility of the stories being mapped and introduce visual and design concepts into a traditionally scientific, data-driven process.
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Mapping with ArcGIS Pro. Design accurate and user-friendly maps to share the story of your data Mapping with ArcGIS Pro. Design accurate and user-friendly maps to share the story of your data
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Deep Learning is a subset of Machine Learning and has gained a lot of popularity recently. This book introduces you to the fundamentals of deep learning in a hands-on manner. You will use Tensorflow to train different types of neural networks for tasks related to computer vision, language processing, and other real-world problems.
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Deep Learning By Example. A hands-on guide to implementing advanced machine learning algorithms and neural networks Deep Learning By Example. A hands-on guide to implementing advanced machine learning algorithms and neural networks
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Have your web applications been experiencing more hits and less conversions? Are bad designs consuming your time and money?This book is the answer to these problems. With intuitive case studies, you’ will learn to simplify, fix, and enhance some common, real-world application designs. You will look at common issues of simplicity, navigation,
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Fixing Bad UX Designs. Master proven approaches, tools, and techniques to make your user experience great again Fixing Bad UX Designs. Master proven approaches, tools, and techniques to make your user experience great again
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With integrated R Services within SQL Server 2017, developers and data scientists can now benefit from the integrated, effective, efficient and more streamlined analytics environment. In this book, you will understand how to leverage the capabilities of R Services in SQL Server 2017. This short yet effective guide will help you get familiar with SQ
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SQL Server 2017 Machine Learning Services with R. Data exploration, modeling, and advanced analytics SQL Server 2017 Machine Learning Services with R. Data exploration, modeling, and advanced analytics
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This book provides the intuition behind the state of the art Deep Learning architectures such as ResNet, DenseNet, Inception, and encoder-decoder without diving deep into the math of it. It shows how you can implement and use various architectures to solve problems in the area of image classification, language translation and NLP using PyTorch.
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Deep Learning with PyTorch. A practical approach to building neural network models using PyTorch Deep Learning with PyTorch. A practical approach to building neural network models using PyTorch
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Ethereum is a public, blockchain-based distributed computing platform featuring smart contract functionality. In this book, you’ll learn about Ethereum and Smart Contracts, and we cover the Ethereum virtual machine (EVM) in detail. Then, you’ll get acquainted with DApps and DAOs and they how work. At the end of this book, we discuss B
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Ethereum Smart Contract Development. Build blockchain-based decentralized applications using solidity Ethereum Smart Contract Development. Build blockchain-based decentralized applications using solidity
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Apache Solr is the only standalone enterprise search server with a REST-like application interface. It is highly scalable, providing distributed search, index replication, and it powers the search and navigation features of many of the world's largest internet sites. This book will take you through complex problems with solutions along with varied
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Mastering Apache Solr 7.x. An expert guide to advancing, optimizing, and scaling your enterprise search Mastering Apache Solr 7.x. An expert guide to advancing, optimizing, and scaling your enterprise search
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R is a popular programming language used by statisticians and mathematicians for statistical analysis, and is popularly used for deep learning. This book demonstrates end-to-end implementations of five real-world projects on popular topics in deep learning such as handwritten digit recognition, traffic light detection, fraud detection, text generat
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R Deep Learning Projects. Master the techniques to design and develop neural network models in R R Deep Learning Projects. Master the techniques to design and develop neural network models in R
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MySQL is one of the most popular and widely used relational databases in the world today. The recently released version 8.0 brings along some major advancements in the way your MySQL solution can be administered. This book starts with a brief introduction to the newly introduced features in MySQL 8, followed by quickly jumping onto the crucial task
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MySQL 8 Administrator's Guide. Effective guide to administering high-performance MySQL 8 solutions MySQL 8 Administrator's Guide. Effective guide to administering high-performance MySQL 8 solutions
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Teradata, unlike other relational database management systems, is mainly popular because of its faster analytical processing and storage capabilities. This book unveils all the functionality offered by Teradata's analytical platform with the help of practical recipes. From installation to querying, indexing to loading utilities for analytical proce
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Teradata Cookbook. Over 85 recipes to implement efficient data warehousing solutions Teradata Cookbook. Over 85 recipes to implement efficient data warehousing solutions
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Build systems that leverage the benefits of the cloud faster than ever before with cloud-native development. This book focuses on patterns for building highly scalable cloud-native systems. You will learn how the combination of cloud, reactive principles, devops, and automation enable teams to continuously deliver innovation with confidence.
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Cloud Native Development Patterns and Best Practices. Practical architectural patterns for building modern, distributed cloud-native systems Cloud Native Development Patterns and Best Practices. Practical architectural patterns for building modern, distributed cloud-native systems
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Python Web Scraping Cookbook is a solution-focused book that will teach you techniques to develop high-performance Scrapers, and deal with cookies, hidden form fields, Ajax-based sites, proxies, and more. By the end of this book, you will be able to scrape websites more efficiently with more accurate data, and how to package, deploy and operate scr
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Python Web Scraping Cookbook. Over 90 proven recipes to get you scraping with Python, microservices, Docker, and AWS Python Web Scraping Cookbook. Over 90 proven recipes to get you scraping with Python, microservices, Docker, and AWS
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Computer Vision is a broadly used term associated with acquiring, processing, and analyzing images. This book will show you how you can perform various Computer Vision techniques in the most practical way possible. Right from capturing images from various sources, you will learn how to perform image filtering/manipulation and detect features in you
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Practical Computer Vision. Extract insightful information from images using TensorFlow, Keras, and OpenCV Practical Computer Vision. Extract insightful information from images using TensorFlow, Keras, and OpenCV
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IPython Interactive Computing and Visualization Cookbook, Second Edition shows you how to analyze and visualize data in the Jupyter Notebook. It will help you become an expert in high-performance computing and visualization for data analysis and scientific modeling.
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IPython Interactive Computing and Visualization Cookbook. Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science in the Jupyter Notebook - Second Edition IPython Interactive Computing and Visualization Cookbook. Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science in the Jupyter Notebook - Second Edition
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PostgreSQL is an open source database used for handling large datasets (big data) and as a JSON document database. This book highlights the newly introduced features in PostgreSQL 10, and shows you how you can build better PostgreSQL applications, and administer your PostgreSQL database more efficiently.
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Mastering PostgreSQL 10. Expert techniques on PostgreSQL 10 development and administration Mastering PostgreSQL 10. Expert techniques on PostgreSQL 10 development and administration
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Regression analysis is a statistical process which enables prediction of relationships between variables. This book will give you a rundown explaining what regression analysis is, explaining you the process from scratch. Each chapter starts with explaining the theoretical concepts and once the reader gets comfortable with the theory, we move to the
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Regression Analysis with R. Design and develop statistical nodes to identify unique relationships within data at scale Regression Analysis with R. Design and develop statistical nodes to identify unique relationships within data at scale
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Scala is one of the widely used programming language in the world when it comes to handle large amount of data. With the rise of machine learning, data scientists and machine learning experts do prefer scala as a language in order to handle and scale efficient machine learning applications. You will be acquainted with the popular deep/machine learn
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Scala Machine Learning Projects. Build real-world machine learning and deep learning projects with Scala Scala Machine Learning Projects. Build real-world machine learning and deep learning projects with Scala
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Deep Learning is one of the trending topics in the field of Artificial Intelligence today and can be considered to be an advanced form of machine learning. This book will help you take your first steps when it comes to training efficient deep learning models, and apply them in various practical scenarios. You will model, train and deploy different
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Deep Learning Essentials. Your hands-on guide to the fundamentals of deep learning and neural network modeling Deep Learning Essentials. Your hands-on guide to the fundamentals of deep learning and neural network modeling
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MySQL is one of the most popular and widely used relational databases in the World today. This book contains everything you need to know to be the go-to person in your organization when it comes to MySQL. Starting with a quick installation and configuration of your MySQL 8 instance, the book contains recipes that give you hands-on experience in dev
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MySQL 8 Cookbook. Over 150 recipes for high-performance database querying and administration MySQL 8 Cookbook. Over 150 recipes for high-performance database querying and administration
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Deep learning has shown its power in several application areas of Artificial Intelligence, especially in Computer Vision, the science of manipulating and processing images. In this book, you will learn different techniques in deep learning to accomplish tasks related to object classification, object detection, image segmentation, captioning, image
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Deep Learning for Computer Vision. Expert techniques to train advanced neural networks using TensorFlow and Keras Deep Learning for Computer Vision. Expert techniques to train advanced neural networks using TensorFlow and Keras
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Feature engineering is the most important step in creating powerful machine learning systems. This book will take you through the entire feature-engineering journey to make your machine learning much more systematic and effective.
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Feature Engineering Made Easy. Identify unique features from your dataset in order to build powerful machine learning systems Feature Engineering Made Easy. Identify unique features from your dataset in order to build powerful machine learning systems
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Big Data analytics relates to the strategies used by enterprises to process and analyze large amounts of data to bring out hidden insights. With the help of open source and enterprise tools, such as R, Python, Hadoop, and Spark, you will learn how to effectively mine your Big Data. By the end of this book, you will have a clear understanding of how
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Practical Big Data Analytics. Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R Practical Big Data Analytics. Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R
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Qlik Sense is powerful and creative visual analytics software that allows users to discover data, explore it, and dig out meaningful insights in order to make a profit and make decisions for your business. This course begins by introducing you to the features and functions of the most modern edition of Qlik Sense so you get to grips with the applic
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Qlik Sense: Advanced Data Visualization for Your Organization. Create smart data visualizations and predictive analytics solutions Qlik Sense: Advanced Data Visualization for Your Organization. Create smart data visualizations and predictive analytics solutions
Henric Cronström, Ferran Garcia Pagans, Neeraj Kharpate, James Richardson, Philip Hand
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IBM SPSS Modeler allows quick, efficient predictive analytics and insight building from your data, and is a popularly used data mining tool. This book will guide you through the data mining process, and presents relevant statistical methods which are used to build predictive models and conduct other analytic tasks using IBM SPSS Modeler. From impor
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IBM SPSS Modeler Essentials. Effective techniques for building powerful data mining and predictive analytics solutions IBM SPSS Modeler Essentials. Effective techniques for building powerful data mining and predictive analytics solutions
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Alteryx, as a leading data blending and advanced data analytics platform, has taken self-service data analytics to the next level. This book will set you on a self-service data analytics journey that will help you create efficient workflows using Alteryx, without any coding involved. It will empower you and your organization to take well-informed d
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Learning Alteryx. A beginner's guide to using Alteryx for self-service analytics and business intelligence Learning Alteryx. A beginner's guide to using Alteryx for self-service analytics and business intelligence
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Apache Kafka is an open source stream processing platform to handle real-time data feeds. This book is a highly practical guide to help you understand the fundamentals as well as the advanced applications of Apache Kafka as an enterprise messaging service.It begins with configuring the basic Kafka APIs, and then shows you how to set up Kafka cluste
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Apache Kafka 1.0 Cookbook. Over 100 practical recipes on using distributed enterprise messaging to handle real-time data Apache Kafka 1.0 Cookbook. Over 100 practical recipes on using distributed enterprise messaging to handle real-time data
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Blender is an open-source modeling and animation program popular in the 3D printing community. 3D printing demands even more of a modeler than animation or virtual reality. Blender is a powerful, stable tool with an integral workflow that will allow you to make 3D creations with ease.This book walks you through four projects to learn using Blender
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Blender 3D Printing by Example. Learn to use Blender's modeling tools for 3D printing by creating 4 projects Blender 3D Printing by Example. Learn to use Blender's modeling tools for 3D printing by creating 4 projects
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This book will give you a fundamental understanding of what the stack is all about, and how to use it efficiently to build powerful real-time data processing applications. It provide in-depth coverage of the different components of the Elastic Stack, and how to use them all together.
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Learning Elastic Stack 6.0. A beginner’s guide to distributed search, analytics, and visualization using Elasticsearch, Logstash and Kibana Learning Elastic Stack 6.0. A beginner’s guide to distributed search, analytics, and visualization using Elasticsearch, Logstash and Kibana
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Google BigQuery is a popular cloud data warehouse for large-scale data analytics. This book will serve as a comprehensive guide to mastering BigQuery, and how you can utilize it to quickly and efficiently get useful insights from your Big Data.You will begin with getting a quick overview of the Google Cloud Platform and the various services it supp
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Learning Google BigQuery. A beginner's guide to mining massive datasets through interactive analysis Learning Google BigQuery. A beginner's guide to mining massive datasets through interactive analysis
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R is a high-level statistical language and is widely used among statisticians and data miners to develop analytical applications. Based on the version 3.4, this book will help you develop strong fundamentals when working with R by taking you through a series of full representative examples, giving you a holistic view of R.
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R Programming By Example. Practical, hands-on projects to help you get started with R R Programming By Example. Practical, hands-on projects to help you get started with R
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The SciPy stack is a popular Python ecosystem used for mathematical and scientific computing tasks. Learn how you can put to use the various functionalities offered by the SciPy stack in the most efficient way possible. With the help of this book, you will solve real-world problems in linear algebra, numerical analysis, visualization, and more.
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SciPy Recipes. A cookbook with over 110 proven recipes for performing mathematical and scientific computations SciPy Recipes. A cookbook with over 110 proven recipes for performing mathematical and scientific computations
Luiz Felipe Martins, V Kishore Ayyadevara, Ruben Oliva Ramos
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This book will give you all the information you need to become an expert database administrator, and master the administrative aspects of SQL Server 2017. From setting up and configuring your SQL Server instance to fine-tuning your database, this extensive guide will teach you the nitty-gritty of SQL Server 2017 administration.
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SQL Server 2017 Administrator's Guide. One stop solution for DBAs to monitor, manage, and maintain enterprise databases SQL Server 2017 Administrator's Guide. One stop solution for DBAs to monitor, manage, and maintain enterprise databases
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Deep Neural Networks (DNNs) have achieved a lot of success in the field of computer vision, speech recognition, and natural language processing. In this book, you will learn how to efficiently use TensorFlow, Google's open source framework for deep learning, and implement different deep learning networks with easy to follow independent recipes.
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TensorFlow 1.x Deep Learning Cookbook. Over 90 unique recipes to solve artificial-intelligence driven problems with Python TensorFlow 1.x Deep Learning Cookbook. Over 90 unique recipes to solve artificial-intelligence driven problems with Python
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Pentaho Data Integration (PDI) has an intuitive design environment with powerful ETL capabilities. However, getting started with the tool can be difficult. This book provides the necessary guidance needed to overcome this, bringing together all the new features of Pentaho 8 Data Integration for quick, actionable insights from your data.
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Learning Pentaho Data Integration 8 CE. An end-to-end guide to exploring, transforming, and integrating your data across multiple sources - Third Edition Learning Pentaho Data Integration 8 CE. An end-to-end guide to exploring, transforming, and integrating your data across multiple sources - Third Edition
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When Reactive Programming is used with a new and powerful programming language such as Kotlin, it gives programmers the power to make great apps very easily, with non-blocking code. Learn Reactive Programming with Kotlin won't just make your apps competitive, it'll make them market-leaders.
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Reactive Programming in Kotlin. Design and build non-blocking, asynchronous Kotlin applications with RXKotlin, Reactor-Kotlin, Android, and Spring Reactive Programming in Kotlin. Design and build non-blocking, asynchronous Kotlin applications with RXKotlin, Reactor-Kotlin, Android, and Spring
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This book will familiarize you with the latest new features released in PostgreSQL 10, and get you up and running with building efficient PostgreSQL database solutions from scratch. You will get a complete overview of SQL, client and server side programming in PostgreSQL, as well as some important administration tasks.
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Learning PostgreSQL 10. A beginner’s guide to building high-performance PostgreSQL database solutions - Second Edition Learning PostgreSQL 10. A beginner’s guide to building high-performance PostgreSQL database solutions - Second Edition
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This book is your guide to understanding the basics of how Azure Stream Analytics works, and build your own analytics solution using its capabilities. By the end of this book, you will be well-versed in using Azure Stream Analytics to develop an efficient analytics solution which can work with any type of data.
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Stream Analytics with Microsoft Azure. Real-time data processing for quick insights using Azure Stream Analytics Stream Analytics with Microsoft Azure. Real-time data processing for quick insights using Azure Stream Analytics
Krishnaswamy Venkataraman, Anindita Basak, Ryan Murphy, Manpreet Singh
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Applications that use and evaluate real-time streams need to take the features of the underlying processing engine into account. This is the first book about Apache Apex, teaching readers how to include the real-time streaming engine Apex in a functioning application, and which parts to add to make it performant and usable.
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Learning Apache Apex. Real-time streaming applications with Apex Learning Apache Apex. Real-time streaming applications with Apex
Thomas Weise, Munagala V. Ramanath, David Yan, Kenneth Knowles
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The visionaries who created ROS developed a framework for robotics centered on commonality of robotics system to simplify the process of building robots. From the fundamental concepts to advanced practical experience, ROS Robotics By Example, Second Edition will provide you with an incremental knowledge of the ROS framework, the backbone of the ro
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ROS Robotics By Example. Learning to control wheeled, limbed, and flying robots using ROS Kinetic Kame - Second Edition ROS Robotics By Example. Learning to control wheeled, limbed, and flying robots using ROS Kinetic Kame - Second Edition
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This book will empower you to produce and present impressive analyses from data, by selecting and implementing the appropriate data mining techniques in R. Explore a data mining crime case, where you will be requested to help resolving a real fraud case affecting a commercial company, by the mean of both basic and advanced data mining techniques.
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R Data Mining. Implement data mining techniques through practical use cases and real-world datasets R Data Mining. Implement data mining techniques through practical use cases and real-world datasets
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SAS provides innovative data management, analytics, and business intelligence software and services which helps their customers to make better decisions faster. SAS is the world leader in analytics and recognized as one of the top business skills to learn to advance one's career. This book provides the reader with hands-on examples of using SAS f
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Big Data Analytics with SAS. Get actionable insights from your Big Data using the power of SAS Big Data Analytics with SAS. Get actionable insights from your Big Data using the power of SAS
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R is an open source language for data analysis and graphics. Its popularity has soared in recent years because of its powerful capabilities when it comes to turning different kinds of data into intuitive visualization solutions. An updated, revamped version of our R Data Visualization Cookbook, this book contains practical, easy to follow recipes y
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R Data Visualization Recipes. A cookbook with 65+ data visualization recipes for smarter decision-making R Data Visualization Recipes. A cookbook with 65+ data visualization recipes for smarter decision-making
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TensorFlow 1.x is an open source software library for numerical computation using data flow graphs. This book approaches common commercial machine learning problems using Google’s TensorFlow 1.x library. It covers unique features of the library such as Data Flow Graphs, training, visualization of performance with TensorBoard—all withi
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Machine Learning with TensorFlow 1.x. Second generation machine learning with Google's brainchild - TensorFlow 1.x Machine Learning with TensorFlow 1.x. Second generation machine learning with Google's brainchild - TensorFlow 1.x
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MongoDB has gone from being a niche database to the king of NoSQL databases in a short time and this is no small feat. Mastering MongoDB will help you gain proficiency in developing apps using MongoDB. This book covers a range of topics such as CRUD operations, Indexing, aggregation, monitoring, sharding, cluster operations, and more. If you are a
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Mastering MongoDB 3.x. An expert's guide to building fault-tolerant MongoDB applications Mastering MongoDB 3.x. An expert's guide to building fault-tolerant MongoDB applications
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R offers a large variety of packages and libraries for fast and accurate data analysis and visualization. As a result, it is one of the most popularly used languages by data scientists and analysts, or anyone who wants to perform data analysis. In this book, we show you just how to do that - with the help of practical implementations of real-world
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R Data Analysis Projects. Build end to end analytics systems to get deeper insights from your data R Data Analysis Projects. Build end to end analytics systems to get deeper insights from your data
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Statistics is an absolute must prerequisite for any task in the area of data science. This is also the most feared hindrance for developers to entering in the data science field. This book will start off with simple statistics and then move on to statistical methods that are used in data science algorithms. The R programs for the statistical comput
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Statistics for Data Science. Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural Networks Statistics for Data Science. Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural Networks
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scikit-learn has evolved as a robust library for machine learning applications in python with support for a wide range of supervised and unsupervised learning algorithms.This edition brings to you the various enhancements to its model implementations, API and bug fixes in the latest major release of scikit-learn to support Python. This book covers
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scikit-learn Cookbook. Over 80 recipes for machine learning in Python with scikit-learn - Second Edition scikit-learn Cookbook. Over 80 recipes for machine learning in Python with scikit-learn - Second Edition
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Around 80% of time in data analysis is spent on cleaning and preparing data for analysis. Python and R are considered a popular choice of tool for data analysis, and have packages which can be best used to manipulate different kinds of data, as per the requirement. This book will show you the best approaches for particular problems in real world ca
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Practical Data Wrangling. Expert techniques for transforming your raw data into a valuable source for analytics Practical Data Wrangling. Expert techniques for transforming your raw data into a valuable source for analytics
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Most of us have heard about the term Machine Learning, but surprisingly the frequently asked question by developers across the globe is “How do I get started in Machine Learning?”. One reason could be attributed to the vastness of the subject area because of which people often get overwhelmed by the abstractness and of ML and the term
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Machine Learning for Developers. Uplift your regular applications with the power of statistics, analytics, and machine learning Machine Learning for Developers. Uplift your regular applications with the power of statistics, analytics, and machine learning
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MongoDB is a high-performance and feature-rich NoSQL database that forms the backbone of the systems that power many different organizations. Packed with many features that have become essential for many different types of software professional and incredibly easy to use, this cookbook contains more than 100 recipes to address the everyday challeng
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MongoDB Administrator's Guide. Over 100 practical recipes to efficiently maintain and administer your MongoDB solution MongoDB Administrator's Guide. Over 100 practical recipes to efficiently maintain and administer your MongoDB solution
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ArcGIS Server is the leading software for developing both web and mobile GIS applications. The ArcGIS API for JavaScript is the preferred way of developing your custom applications for ArcGIS Server since it can be used for both web and mobile application development. It's easy to use and doesn't require the use of a browser plugin. This practical
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Building Web and Mobile ArcGIS Server Applications with JavaScript. Build exciting custom web and mobile GIS applications with the ArcGIS Server API for JavaScript - Second Edition Building Web and Mobile ArcGIS Server Applications with JavaScript. Build exciting custom web and mobile GIS applications with the ArcGIS Server API for JavaScript - Second Edition
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Microsoft has revamped its Project Oxford to launch the all new Cognitive Services platform-a set of 30 APIs to add speech, vision, language, and knowledge capabilities to apps. This book will introduce you to 24 of the APIs released as part of Cognitive Services platform and show you how to leverage their capabilities. More importantly, you'll see
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Learning Microsoft Cognitive Services. Leverage Machine Learning APIs to build smart applications - Second Edition Learning Microsoft Cognitive Services. Leverage Machine Learning APIs to build smart applications - Second Edition
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The R language is a powerful open source functional programming language. At its core, R is a statistical language that provides impressive tools to analyze data and create high-level graphics.This book covers the basics of R by setting up a user-friendly programming environment and programming ETL in R. Data exploration examples are provided that
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Machine Learning with R Cookbook. Analyze data and build predictive models - Second Edition Machine Learning with R Cookbook. Analyze data and build predictive models - Second Edition
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Explore pandas, the powerful Python library for data analysis and manipulation by working on real-world datasets. Get to grips with the fundamentals and learn to use pandas to clean messy data, independently analyze groups within your data, make powerful time-series calculations, and create beautiful visualizations during exploratory data analysis.
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Pandas Cookbook. Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python Pandas Cookbook. Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python
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Developing a successful business intelligence solution takes more than just the knowledge of Qlik Sense. With Business Analytics becoming popular, it’s now becoming imperative for a Qlik Developer to scale up to the next level. This book will you with the right implementations needed for your organization to scale to new levels.
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Implementing Qlik Sense. Design, Develop, and Validate BI solutions for consultants Implementing Qlik Sense. Design, Develop, and Validate BI solutions for consultants
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Jupyter Notebook is a web-based environment that enables interactive computing in notebook documents. It allows you to create documents that contain live code, equations and visualizations. This book will be a comprehensive guide to getting started with data science using the popular Jupyter notebook. It will show you how to leverage the capabiltie
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Jupyter for Data Science. Exploratory analysis, statistical modeling, machine learning, and data visualization with Jupyter Jupyter for Data Science. Exploratory analysis, statistical modeling, machine learning, and data visualization with Jupyter
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With increase in complexity of data relationships, graph databases are quickly becoming the de-facto standard for organizations who manage large volumes of connected data. This book aims at getting you started with the popular graph database Neo4j along with covering key concepts like modelling transitions, searches, traversals, relationships and p
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Learning Neo4j 3.x. Effective data modeling, performance tuning and data visualization techniques in Neo4j - Second Edition Learning Neo4j 3.x. Effective data modeling, performance tuning and data visualization techniques in Neo4j - Second Edition
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MySQL is one of the most popular relational databases in the world today, and has become a popular choice of tool to handle vast amounts of structured data - that is, structured Big Data. This book will demonstrate how you can dabble with large amounts of data using MySQL 8. It also highlights topics such as integrating MySQL 8 and a Big Data solut
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MySQL 8 for Big Data. Effective data processing with MySQL 8, Hadoop, NoSQL APIs, and other Big Data tools MySQL 8 for Big Data. Effective data processing with MySQL 8, Hadoop, NoSQL APIs, and other Big Data tools
Shabbir Challawala, Chintan Mehta, Kandarp Patel, Jaydip Lakhatariya
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R is a powerful tool for statistics, graphics, and statistical programming. It is used by tens of thousands of people daily to perform serious statistical analyses. It is a free, open source system whose implementation is the collective accomplishment of many intelligent, hard-working people. There are more than 2,000 available add-ons, and R is a
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Modern R Programming Cookbook. Recipes to simplify your statistical applications Modern R Programming Cookbook. Recipes to simplify your statistical applications
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Real-time data processing involves continuous input, processing and output of data, with the condition that the time required for processing is as short as possible. This book covers the majority of the existing and evolving open source technology stack for real-time processing and analytics. You will get to know about all the real-time solution as
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Practical Real-time Data Processing and Analytics. Distributed Computing and Event Processing using Apache Spark, Flink, Storm, and Kafka Practical Real-time Data Processing and Analytics. Distributed Computing and Event Processing using Apache Spark, Flink, Storm, and Kafka
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Practical Time Series Analysis will introduce you to the basic concepts of time series analysis and describe powerful yet simple techniques in Python which data scientists and data engineers would find useful in dealing with real life datasets in industrial settings. This book focuses on explaining important concepts and practical techniques to pro
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Practical Time Series Analysis. Master Time Series Data Processing, Visualization, and Modeling using Python Practical Time Series Analysis. Master Time Series Data Processing, Visualization, and Modeling using Python
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Power BI is a business intelligence and analytics services by Microsoft designed to provide visual and interactive insights into data. With the help of technical examples, this book will help you explore Power BI tools and features and demonstrate the use of end-to-end solutions that integrate them to get more out of Power BI.
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Microsoft Power BI Cookbook. Over 100 recipes for creating powerful Business Intelligence solutions to aid effective decision-making Microsoft Power BI Cookbook. Over 100 recipes for creating powerful Business Intelligence solutions to aid effective decision-making
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The mission of this book is to turn readers into productive, innovative data analysts who leverage Go to build robust and valuable applications. To this end, the book clearly introduces the technical aspects of building predictive models in Go, but it also helps the reader understand how machine learning workflows are being applied in real world sc
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Machine Learning With Go. Implement Regression, Classification, Clustering, Time-series Models, Neural Networks, and More using the Go Programming Language Machine Learning With Go. Implement Regression, Classification, Clustering, Time-series Models, Neural Networks, and More using the Go Programming Language
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Scala is becoming the language of choice for software engineers and data scientists who analyze large data sets. This trend has been reinforced by the wide acceptance of Scala based frameworks such as Apache Spark and Kafka. As a functional language, Scala is particularly suited for extracting knowledge through supervised, unsupervised or reinforce
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Scala for Machine Learning. Build systems for data processing, machine learning, and deep learning - Second Edition Scala for Machine Learning. Build systems for data processing, machine learning, and deep learning - Second Edition
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SPSS Statistics is a software package used for logical batched and non-batched statistical analysis. Analytical tools such as SPSS can readily provide even a novice user with an overwhelming amount of information and a broad range of options for analyzing patterns in the data. This book will have a comprehensive coverage of IBM’s premier sta
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Data Analysis with IBM SPSS Statistics. Implementing data modeling, descriptive statistics and ANOVA Data Analysis with IBM SPSS Statistics. Implementing data modeling, descriptive statistics and ANOVA
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This second edition of Python Machine Learning by Sebastian Raschka is for developers and data scientists looking for a practical approach to machine learning and deep learning. In this updated edition, you’ll explore the machine learning process using Python and the latest open source technologies, including scikit-learn and TensorFlow 1.x.
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Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow - Second Edition Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow - Second Edition
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Data analytics with R has emerged as a very important focus for organizations of all kinds. R enables even those with only an intuitive grasp of the underlying concepts, without a deep mathematical background, to unleash powerful and detailed examinations of their data. This book empowers you by showing you ways to use R to generate professional an
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R Data Analysis Cookbook. Customizable R Recipes for data mining, data visualization and time series analysis - Second Edition R Data Analysis Cookbook. Customizable R Recipes for data mining, data visualization and time series analysis - Second Edition
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Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the aim of discovering useful information. Java is one of the most popular languages to perform your data analysis tasks.This book will show you the fundamentals of data analysis tasks using Java - ranging from data retrieval to complex analysis. You will lear
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Java Data Analysis. Data mining, big data analysis, NoSQL, and data visualization Java Data Analysis. Data mining, big data analysis, NoSQL, and data visualization
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Pentaho 8 Reporting, a suite of Open Source tools, allows you to create pixel-perfect reports of your data in PDF, Excel, HTML, Text, Rich-Text-File, XML, and CSV. These computer generated reports easily refine data from various sources into a human-readable form. It helps to transform all your data into meaningful information, tailored to your aud
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Pentaho 8 Reporting for Java Developers. Create pixel-perfect analytical reports using reporting tools Pentaho 8 Reporting for Java Developers. Create pixel-perfect analytical reports using reporting tools
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In the past year, Apache Spark has been increasingly adopted for development of distributed applications. Spark SQL APIs provides an optimized interface that helps developers build such applications quickly and easily. However, designing web-scale production applications using Spark SQL APIs can be a complex task. Understanding the design and imple
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Learning Spark SQL. Architect streaming analytics and machine learning solutions Learning Spark SQL. Architect streaming analytics and machine learning solutions
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The purpose of machine learning is to build systems that learn from data. With the meteoric rise of machine learning, developers are now keen on finding out how can they make their Spark applications smarter. The book commences by defining machine learning primitives by the MLlib and H2O libraries. You will learn how to use Binary classification to
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Mastering Machine Learning with Spark 2.x. Harness the potential of machine learning, through spark Mastering Machine Learning with Spark 2.x. Harness the potential of machine learning, through spark
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Statistical Analysis involves collecting and examining data to describe the nature of data that needs to be analyzed. It helps you explore the relation of data and build models to make better decisions. You will begin with a brief understanding of the nature of data and end with modern and advanced statistical models like CART. Every step is taken
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Statistical Application Development with R and Python. Develop applications using data processing, statistical models, and CART - Second Edition Statistical Application Development with R and Python. Develop applications using data processing, statistical models, and CART - Second Edition
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MATLAB is the language of choice for many researchers and mathematics experts for machine learning. This book will build a foundation for machine learning using MATLAB for beginners. It will also help you learn regression, clustering, classification, predictive analytics, artificial neural networks, and more with MATLAB.
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MATLAB for Machine Learning. Practical examples of regression, clustering and neural networks MATLAB for Machine Learning. Practical examples of regression, clustering and neural networks
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Big data analytics are driving innovations in scientific research, digital marketing, policymaking and much more. Matplotlib offers simple but powerful plotting interface, versatile plot types and robust customizations, which help resolve the complexity in Big data visualization. “Matplotlib 2.x By Example” illustrates the methods and
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Matplotlib 2.x By Example. Multi-dimensional charts, graphs, and plots in Python Matplotlib 2.x By Example. Multi-dimensional charts, graphs, and plots in Python
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R is the go-to tool for statistics and data mining while Tableau offers an interface to filter data, plug and play with rich visualizations to describe insights from your data. When combined these two tools makes it easier to harness interesting patterns and communicate stories. This book covers various analytical techniques like prediction, classi
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Advanced Analytics with R and Tableau. Advanced analytics using data classification, unsupervised learning and data visualization Advanced Analytics with R and Tableau. Advanced analytics using data classification, unsupervised learning and data visualization
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Apache Kafka is a popular distributed streaming platform which acts as a messaging queue or an enterprise messaging system. This book is a comprehensive guide on designing and architecting enterprise-grade streaming applications using Apache Kafka and other Big Data tools. Once you grasp the basics, we will take you through the more advance concept
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Building Data Streaming Applications with Apache Kafka. Design, develop and streamline applications using Apache Kafka, Storm, Heron and Spark Building Data Streaming Applications with Apache Kafka. Design, develop and streamline applications using Apache Kafka, Storm, Heron and Spark
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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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Deep Learning is the next big thing. It is a part of machine learning. Its favorable results in application with huge and complex data is remarkable. This book will help you to get through the problems that you face during the execution of different tasks and understand hacks in deep learning, neural networks, and advanced machine learning techniqu
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R Deep Learning Cookbook. Solve complex neural net problems with TensorFlow, H2O and MXNet R Deep Learning Cookbook. Solve complex neural net problems with TensorFlow, H2O and MXNet
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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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There are unique challenges associated with analyzing Internet of Things (IoT) data. This book will turn you into an effective designer of analytics to meet those challenges. You will learn the strategies to optimize the data for analytics through step-by-step approach which is followed throughout this book.
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Analytics for the Internet of Things (IoT). Intelligent analytics for your intelligent devices Analytics for the Internet of Things (IoT). Intelligent analytics for your intelligent devices
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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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HoloLens, Microsoft’s innovative augmented reality headset, overlaps holograms into a user’s vision of their environment. Your ideas are closer to becoming real when you can create and work with holograms in relation to the world around you. If you are dreaming beyond virtual worlds, beyond screens, beyond pixels, and want to take a b
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Microsoft HoloLens Developer's Guide. A Complete Guide to HoloLens Application Development Microsoft HoloLens Developer's Guide. A Complete Guide to HoloLens Application Development
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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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QlikView is a BI platform for end-to-end business analytics. This hands-on guide will help you to implement QlikView, load different types of data into it, and model it effectively. You'll also write scripts for handling complex data transformations and organize QlikView projects in a way that's most productive for all stakeholders.
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QlikView for Developers. Design and build scalable and maintainable BI solutions QlikView for Developers. Design and build scalable and maintainable BI solutions
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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