FREE EBOOK - Efficient Learning Machines 
by Mariette Awad, Rahul Khanna
Machine learning techniques provide cost-effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information to train models. Efficient Learning Machines explores the major topics of machine learning, including knowledge discovery, classifications, genetic algorithms, neural networking, kernel ...
Price: $39.99 | Publisher: Apress | Release: 2015
by Matei Zaharia, Holden Karau, Andy Konwinski, Patrick Wendell
Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java, and Scala. This edition includes new information on Spark SQL, Spark Streaming, set...
Price: $32.23 | Publisher: O'Reilly Media | Release: 2015
by Bruce Sutherland
C++ Recipes: A Problem-Solution Approach is a handy code cookbook reference guide that cover the latest C++ 14 as well as some of the code templates available in the latest Standard Template Library (STL).In this handy reference, you'll find numbers, strings, dates, times, classes, exceptions, streams, flows, pointers and more. Also, you'll see various code samples, templates for C++ algorithms, p...
Price: $45.64 | Publisher: Apress | Release: 2015
Beginning Big Data with Power BI and Excel 2013
by Neil Dunlop
In Beginning Big Data with Power BI and Excel 2013, you will learn to solve business problems by tapping the power of Microsoft's Excel and Power BI to import data from NoSQL and SQL databases and other sources, create relational data models, and analyze business problems through sophisticated dashboards and data-driven maps.While Beginning Big Data with Power BI and Excel 2013 covers prominent tools s...
Price: $18.76 | Publisher: Apress | Release: 2015
by Courtney Bowman, Ari Gesher, John K Grant, Daniel Slate
Technology's influence on privacy not only concerns consumers, political leaders, and advocacy groups, but also the software architects who design new products. In this practical guide, experts in data analytics, software engineering, security, and privacy policy describe how software teams can make privacy-protective features a core part of product functionality, rather than add them late in the devel...
Price: $20.33 | Publisher: O'Reilly Media | Release: 2015
Creating a Data-Driven Organization
by Carl Anderson
What do you need to become a data-driven organization? Far more than having big data or a crack team of unicorn data scientists, it requires establishing an effective, deeply-ingrained data culture. This practical book shows you how true data-drivenness involves processes that require genuine buy-in across your company, from analysts and management to the C-Suite and the board.Through interviews and example...
Price: $23.97 | Publisher: O'Reilly Media | Release: 2015
by Mike Barlow
Until recently, many people thought big data was a passing fad. "Data science" was an enigmatic term. Today, big data is taken seriously, and data science is considered downright sexy. With this anthology of reports from award-winning journalist Mike Barlow, you'll appreciate how data science is fundamentally altering our world, for better and for worse.Barlow paints a picture of the ...
Price: $9.99 | Publisher: O'Reilly Media | Release: 2015
by Radu Gheorghe, Matthew Lee Hinman, Roy Russo
Modern search seems like magic - you type a few words and the search engine appears to know what you want. With the Elasticsearch real-time search and analytics engine, you can give your users this magical experience without having to do complex low-level programming or understand advanced data science algorithms. You just install it, tweak it, and get on with your work.Elasticsearch in Action teaches you h...
Price: $33.04 | Publisher: Manning | Release: 2015
Learning Predictive Analytics with R
by Eric Mayor
R is statistical software that is used for data analysis. There are two main types of learning from data: unsupervised learning, where the structure of data is extracted automatically; and supervised learning, where a labeled part of the data is used to learn the relationship or scores in a target attribute. As important information is often hidden in a lot of data, R helps to extract that information with ...
Price: $43.61 | Publisher: Packt Publishing | Release: 2015
Hadoop MapReduce v2 Cookbook, 2nd Edition
by Thilina Gunarathne
Starting with installing Hadoop YARN, MapReduce, HDFS, and other Hadoop ecosystem components, with this book, you will soon learn about many exciting topics such as MapReduce patterns, using Hadoop to solve analytics, classifications, online marketing, recommendations, and data indexing and searching. You will learn how to take advantage of Hadoop ecosystem projects including Hive, HBase, Pig, Mahout, Nutch...
Price: $39.08 | Publisher: Packt Publishing | Release: 2015