by Russell Jurney
Data science teams looking to turn research into useful analytics applications require not only the right tools, but also the right approach if they're to succeed. With the revised second edition of this hands-on guide, up-and-coming data scientists will learn how to use the Agile Data Science development methodology to build data applications with Python, Apache Spark, Kafka, and other tools.Author Ru...
Price: $28.00 | Publisher: O'Reilly Media | Release: 2017
Advanced Analytics with Spark, 2nd Edition 
by Sandy Ryza, Uri Laserson, Josh Wills, Sean Owen
In the second edition of this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example. Updated for Spark 2.1, this edition acts as an introduction to these techniques and other best pract...
Price: $29.85 | Publisher: O'Reilly Media | Release: 2017
by Sivakumaran Raman
If your job involves working with data in any manner, you cannot afford to ignore the R revolution! If your domain is called data analysis, analytics, informatics, data science, reporting, business intelligence, data management, big data, or visualization, you just have to learn R as this programming language is a game-changing sledgehammer.However, if you have looked at a standard text on R or read some of...
Publisher: Self-publishing | Release: 2017
Mastering Machine Learning with Python in Six Steps
by Manohar Swamynathan
Master machine learning with Python in six steps and explore fundamental to advanced topics, all designed to make you a worthy practitioner. This book's approach is based on the "Six degrees of separation" theory, which states that everyone and everything is a maximum of six steps away. Mastering Machine Learning with Python in Six Steps presents each topic in two parts: theoretical c...
Price: $37.64 | Publisher: Apress | Release: 2017
Oracle Business Intelligence with Machine Learning
by Lakshman Bulusu, Rosendo Abellera
Use machine learning and Oracle Business Intelligence Enterprise Edition (OBIEE) as a comprehensive BI solution. This book follows a when-to, why-to, and how-to approach to explain the key steps involved in utilizing the artificial intelligence components now available for a successful OBIEE implementation. Oracle Business Intelligence with Machine Learning covers various technologies including using Oracle...
Price: $40.06 | Publisher: Apress | Release: 2017
by Bill Havanki
Until recently, Hadoop deployments existed on hardware owned and run by organizations. Now, of course, you can acquire the computing resources and network connectivity to run Hadoop clusters in the cloud. But there's a lot more to deploying Hadoop to the public cloud than simply renting machines.This hands-on guide shows developers and systems administrators familiar with Hadoop how to install, use, an...
Price: $25.32 | Publisher: O'Reilly Media | Release: 2017
by Itay Lieder, Yehezkel Resheff, Tom Hope
Roughly inspired by the human brain, deep neural networks trained with large amounts of data can solve complex tasks with unprecedented accuracy. This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for computer vision, natural language processing (NLP), speech recognition, and general predictive analytics.Aut...
Price: $12.69 | Publisher: O'Reilly Media | Release: 2017
Tabular Modeling in Microsoft SQL Server Analysis Services, 2nd Edition
by Marco Russo, Alberto Ferrari
Create a semantic model and analyze data using the tabular model in SQL Server 2016 Analysis Services to create corporate-level business intelligence (BI) solutions. Led by two BI experts, you will learn how to build, deploy, and query a tabular model by following detailed examples and best practices. This hands-on book shows you how to use the tabular model's in-memory database to perform rapid analyt...
Price: $45.42 | Publisher: Microsoft Press | Release: 2017
Node.js in Action, 2nd Edition
by Alex Young, Bradley Meck, Mike Cantelon, Tim Oxley, Marc Harter, T.J. Holowaychuk, Nathan Rajlich
You already know JavaScript. The trick to mastering Node.js is learning how to build applications that fully exploit its powerful asynchronous event handling and non-blocking I/O features. The Node server radically simplifies event-driven real-time apps like chat, games, and live data analytics, and with its incredibly rich ecosystem of modules, tools, and libraries, it's hard to beat!Based on the best...
Price: $25.18 | Publisher: Manning | Release: 2017
by Mohammed Guller
This book is a step-by-step guide for learning how to use Spark for different types of big-data analytics projects, including batch, interactive, graph, and stream data analysis as well as machine learning. It covers Spark core and its add-on libraries, including Spark SQL, Spark Streaming, GraphX, MLlib, and Spark ML.Big Data Analytics with Spark shows you how to use Spark and leverage its easy-to-use feat...
Price: $29.99 | Publisher: Apress | Release: 2016