The Two Essential Algorithms for Making Predictions

This chapter covers two classes of algorithms for solving function approximation problems: penalized linear regression methods and ensemble methods. It introduces machine learning students to both of these algorithms, outlines some of their characteristics, and reviews the results of comparative stu...

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Bibliographic Details
Published inMachine Learning with Spark and Python pp. 1 - 2
Main Author Bowles, Michael
Format Book Chapter
LanguageEnglish
Published United States John Wiley & Sons 2020
John Wiley & Sons, Incorporated
John Wiley & Sons, Inc
Edition2nd Edition
Subjects
Online AccessGet full text

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Table of Contents:
  • 1.1 Why are These Two Algorithms So Useful? 1.2 What are Penalized Regression Methods? 1.3 What are Ensemble Methods? 1.4 How to Decide which Algorithm to Use 1.5 The Process Steps for Building a Predictive Model 1.6 Chapter Contents and Dependencies 1.7 Summary References