The Two Essential Algorithms for Making Predictions

• Published in: Machine Learning with Spark and Python pp. 1 - 2
• Main Author: Bowles, Michael
• Format: Book Chapter
• Language: English
• Published: United States John Wiley & Sons 2020; John Wiley & Sons, Incorporated; John Wiley & Sons, Inc
• Edition: 2nd Edition
• Subjects: algorithm performance; ensemble methods; General Engineering & Project Administration; General References; machine learning; penalized regression methods; predictive model

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...

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