Practical Machine Learning in R

ISBN-13: 9781119591511 / Angielski / Miękka / 2020 / 464 str.

Fred Nwanganga; Mike Chapple

Spis treści

About the Authors viiAbout the Technical Editors ixAcknowledgments xiIntroduction xxiPart I: Getting Started 1Chapter 1 What is Machine Learning? 3Chapter 2 Introduction to R and RStudio 25Chapter 3 Managing Data 53Part II: Regression 101Chapter 4 Linear Regression 103Chapter 5 Logistic Regression 165Part III: Classification 221Chapter 6 k-Nearest Neighbors 223Chapter 7 Naïve Bayes 251Chapter 8 Decision Trees 277Part IV: Evaluating and Improving Performance 305Chapter 9 Evaluating Performance 307Chapter 10 Improving Performance 341Part V: Unsupervised Learning 367Chapter 11 Discovering Patterns with Association Rules 369Chapter 12 Grouping Data with Clustering 395Index 421