ebooks and download videos Search All  Title  Author 
Home / Nonfiction / Computers / Database Management / Database Mining

Apache Spark Machine Learning Blueprints

| £26.66 | €29.98 | Ca$43.24 | Au$42.68
by Alex Liu
What is this?DRM-EPUB | by download   add to wish list
Apache Spark Machine Learning Blueprints by Alex Liu

Develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide About This Book • Customize Apache Spark and R to fit your analytical needs in customer research, fraud detection, risk analytics, and recommendation engine development • Develop a set of practical Machine Learning applications that can be implemented in real-life projects • A comprehensive, project-based guide to improve and refine your predictive models for practical implementation Who This Book Is For If you are a data scientist, a data analyst, or an R and SPSS user with a good understanding of machine learning concepts, algorithms, and techniques, then this is the book for you. Some basic understanding of Spark and its core elements and application is required. What You Will Learn • Set up Apache Spark for machine learning and discover its impressive processing power • Combine Spark and R to unlock detailed business insights essential for decision making • Build machine learning systems with Spark that can detect fraud and analyze financial risks • Build predictive models focusing on customer scoring and service ranking • Build a recommendation systems using SPSS on Apache Spark • Tackle parallel computing and find out how it can support your machine learning projects • Turn open data and communication data into actionable insights by making use of various forms of machine learning In Detail There's a reason why Apache Spark has become one of the most popular tools in Machine Learning - its ability to handle huge datasets at an impressive speed means you can be much more responsive to the data at your disposal. This book shows you Spark at its very best, demonstrating how to connect it with R and unlock maximum value not only from the tool but also from your data. Packed with a range of project "blueprints" that demonstrate some of the most interesting challenges that Spark can help you tackle, you'll find out how to use Spark notebooks and access, clean, and join different datasets before putting your knowledge into practice with some real-world projects, in which you will see how Spark Machine Learning can help you with everything from fraud detection to analyzing customer attrition. You'll also find out how to build a recommendation engine using Spark's parallel computing powers. Style and approach This book offers a step-by-step approach to setting up Apache Spark, and use other analytical tools with it to process Big Data and build machine learning projects.

The initial chapters focus more on the theory aspect of machine learning with Spark, while each of the later chapters focuses on building standalone p

To view this DRM protected ebook on your desktop or laptop you will need to have Adobe Digital Editions installed. It is a free software. We also strongly recommend that you sign up for an AdobeID at the Adobe website. For more details please see FAQ 1&2. To view this ebook on an iPhone, iPad or Android mobile device you will need the Adobe Digital Editions app, or BlueFire Reader or Txtr app. These are free, too. For more details see this article.

SHARE  Share by Email  Share on Facebook  Share on Twitter  Share on Linked In  Share on Delicious
or call in the US toll free 1-888-866-9150 product ID: 845219

Ebook Details
Pages: 252
Size: 7.3 MB
Publisher: Packt Publishing
Date published:   2016
ISBN: 9781785887789 (DRM-EPUB)

DRM Settings
Copying:not allowed
Printing:not allowed
Read Aloud:  not allowed

This product is listed in the following categories:

Nonfiction > Computers > Data Processing
Nonfiction > Computers > Data Modeling & Design
Nonfiction > Computers > Database Management > Database Mining

If you find anything wrong with this product listing, perhaps the description is wrong, the author is incorrect, or it is listed in the wrong category, then please contact us. We will promptly address your feedback.

Submit 5 page SummaryWhat is this?

© 2016