Machine Learning with Spark™ and Python® - Essential Techniques for Predictive Analytics (2nd Edition)

This book 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...

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Bibliographic Details
Main Author Bowles, Michael
Format eBook Book
LanguageEnglish
Published Indianapolis, Ind John Wiley & Sons 2020
Wiley
John Wiley & Sons, Incorporated
Wiley-Blackwell
Edition2nd edition
Subjects
General Engineering & Project Administration
General References
Machine learning
Python (Computer program language)
SPARK (Computer program language)
Online AccessGet full text
ISBN1119561930
9781119561934

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Summary:This book 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. This book 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.
Bibliography:Includes bibliographical references and index
ISBN:1119561930
9781119561934