Cover image for Machine Learning with Spark and Python : Essential Techniques for Predictive Analytics
Title:
Machine Learning with Spark and Python : Essential Techniques for Predictive Analytics
Author:
Bowles, Michael.
ISBN:
9781119562023

9781119562016

9781119561958
Edition:
2nd ed.
Publication Information:
Newark : Wiley, 2019.
Physical Description:
1 online resource (371 pages)
Contents:
Front Matter -- The Two Essential Algorithms for Making Predictions -- Understand the Problem by Understanding the Data -- Predictive Model Building -- Penalized Linear Regression -- Building Predictive Models Using Penalized Linear Methods -- Ensemble Methods -- Building Ensemble Models with Python.
Abstract:
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.
Local Note:
John Wiley and Sons
Subject Term:
Machine learning.

Apprentissage automatique.

Machine learning
Electronic Access:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119562023
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