Machine learning with R : expert techniques for predictive modeling / Brett Lantz.

Format:

Book

Author/Creator:

Lantz, Brett, author.

Series:

Expert insight.

Expert insight

Language:

English

Subjects (All):

Machine learning.

R (Computer program language).

Physical Description:

1 online resource (568 pages)

Edition:

Third edition.

Place of Publication:

Birmingham : Packt Publishing, 2019.

Biography/History:

Lantz Brett: Brett Lantz (DataSpelunking) has spent more than 10 years using innovative data methods to understand human behavior. A sociologist by training, Brett was first captivated by machine learning during research on a large database of teenagers' social network profiles. Brett is a DataCamp instructor and a frequent speaker at machine learning conferences and workshops around the world. He is known to geek out about data science applications for sports, autonomous vehicles, foreign language learning, and fashion, among many other subjects, and hopes to one day blog about these subjects at Data Spelunking, a website dedicated to sharing knowledge about the search for insight in data.

Summary:

A hands-on, readable guide to machine learning with R. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to uncover key insights and make new predictions. The 3rd edition features newer and better libraries, advice on ethical and bias issues, and an introduction to deep learning.

Contents:

Introducing machine learning

Managing and understanding data

Lazy learning

classification using nearest neighbors

Probabilistic learning

classification using naive Bayes

Divide and conquer

classification using decision trees and rules

Forecasting numeric data

regression methods

Black box methods

neural networks and support vector machines

Finding patterns

market basket analysis using association rules

Finding groups of data

clustering with k-means

Evaluation model performance

Improving model performance

Specialized machine learning topics.

Notes:

Includes index.

Description based on print version record.

ISBN:

9781523125241

1523125241

9781788291552

1788291557

OCLC:

1124738002

Publisher Number:

9781788295864