9781119561934-1119561930-Machine Learning with Spark and Python: Essential Techniques for Predictive Analytics

Machine Learning with Spark and Python: Essential Techniques for Predictive Analytics

ISBN-13: 9781119561934
ISBN-10: 1119561930
Edition: 2
Author: Bowles, Michael
Publication date: 2019
Publisher: Wiley
Format: Paperback 368 pages
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Book details

ISBN-13: 9781119561934
ISBN-10: 1119561930
Edition: 2
Author: Bowles, Michael
Publication date: 2019
Publisher: Wiley
Format: Paperback 368 pages

Summary

Acknowledged authors Bowles, Michael wrote Machine Learning with Spark and Python: Essential Techniques for Predictive Analytics comprising 368 pages back in 2019. Textbook and eTextbook are published under ISBN 1119561930 and 9781119561934. Since then Machine Learning with Spark and Python: Essential Techniques for Predictive Analytics textbook was available to sell back to BooksRun online for the top buyback price or rent at the marketplace.

Description

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.

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.

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