Machine Learning with Spark and Python: Essential Techniques for Predictive Analytic (pdf)

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Author Michael Bowles
Edition 2
Edition Year 2019
Format PDF
ISBN 9781119561934
Language English
Number Of Pages 368
Publisher Wiley

Description

Machine Learning with Spark and Python focuses on two algorithm families (linear methods and ensemble methods) that effectively predict outcomes. This type of problem covers many use cases such as what ad to place on a web page, predicting prices in securities markets, or detecting credit card fraud. The focus on two families gives enough room for full descriptions of the mechanisms at work in the algorithms. Then the code examples serve to illustrate the workings of the machinery with specific hackable code.Machine Learning with Spark and Python Essential Techniques for Predictive Analytics, Second Edition simplifies ML for practical uses by focusing on two key algorithms. This new second edition improves with the addition of Spark—a ML framework from the Apache foundation. By implementing Spark, machine learning students can easily process much large data sets and call the spark algorithms using ordinary Python code.

Additional information

Author

Michael Bowles

Edition

2

Edition Year

2019

Format

PDF

ISBN

9781119561934

Language

English

Number Of Pages

368

Publisher

Wiley

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