Machine Learning with Spark and Python, 2nd Edition

Machine Learning with Spark and Python, 2nd Edition Front Cover
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368 pages

Book Description

with Spark and Essential Techniques for Predictive , Second Edition simplifies ML for practical uses by focusing on two key . 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 using ordinary Python code.

Machine Learning with Spark and Python focuses on two 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 , 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.

Book Details

  • Title: Machine Learning with Spark and Python, 2nd Edition
  • Author:
  • Length: 368 pages
  • Edition: 2
  • Language: English
  • Publisher:
  • Publication Date: 2019-11-05
  • ISBN-10: 1119561930
  • ISBN-13: 9781119561934
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