Machine Learning with R : Expert techniques for predictive modeling, 3rd Edition

Machine Learning with R : Expert techniques for predictive modeling, 3rd Edition

Description

Solve real-world data problems with R and machine learning

Key Features

Third edition of the bestselling, widely acclaimed R machine learning book, updated and improved for R 3.6 and beyond
Harness the power of R to build flexible, effective, and transparent machine learning models
Learn quickly with a clear, hands-on guide by experienced machine learning teacher and practitioner, Brett Lantz

Book DescriptionMachine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data.

Machine Learning with R, Third Edition provides a hands-on, readable guide to applying machine learning to real-world problems. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to uncover key insights, make new predictions, and visualize your findings.

This new 3rd edition updates the classic R data science book to R 3.6 with newer and better libraries, advice on ethical and bias issues in machine learning, and an introduction to deep learning. Find powerful new insights in your data; discover machine learning with R.

What you will learn

Discover the origins of machine learning and how exactly a computer learns by example
Prepare your data for machine learning work with the R programming language
Classify important outcomes using nearest neighbor and Bayesian methods
Predict future events using decision trees, rules, and support vector machines
Forecast numeric data and estimate financial values using regression methods
Model complex processes with artificial neural networks - the basis of deep learning
Avoid bias in machine learning models
Evaluate your models and improve their performance
Connect R to SQL databases and emerging big data technologies such as Spark, H2O, and TensorFlow

Who this book is forData scientists, students, and other practitioners who want a clear, accessible guide to machine learning with R.

Similar Books

ISBN 10: 1593279566
ISBN 13: 9781593279561

11 Jul 2019
Will Kurt

ISBN 10: 0134692888
ISBN 13: 9780134692883

05 Sep 2019
Zed Shaw

ISBN 10: 1119287537
ISBN 13: 9781119287537

02 Oct 2018
Rafael Sacks

ISBN 10: 7561939035
ISBN 13: 9787561939031

01 Jan 2014
Jiang Liping

ISBN 10: 1617293709
ISBN 13: 9781617293702

15 May 2019
Andrew W Trask

ISBN 10: 1491910399
ISBN 13: 9781491910399

20 Jan 2017
Garrett Wickham

ISBN 10: 1119002257
ISBN 13: 9781119002253

01 Dec 2015
Cole Nussbaumer Knaflic

ISBN 10: 0753555166
ISBN 13: 9780753555163

17 Apr 2014
Greg McKeown

ISBN 10: 0141985410
ISBN 13: 9780141985411

06 Jul 2017
Cathy O'neil

ISBN 10: 0198739834
ISBN 13: 9780198739838

01 May 2016
Nick Bostrom

ISBN 10: 110845514X
ISBN 13: 9781108455145

23 Apr 2020
Marc Peter Deisenroth

ISBN 10: 0262035618
ISBN 13: 9780262035613

18 Apr 2017
Yoshua Bengio

Warning: fopen(/var/www/johnbellbooks.com/htdocs/core/../sitemap_datas/auto/isbn_and_title_1.txt): failed to open stream: Permission denied in /var/www/johnbellbooks.com/htdocs/core/krenabiz.php on line 0

Warning: fwrite() expects parameter 1 to be resource, bool given in /var/www/johnbellbooks.com/htdocs/core/krenabiz.php on line 0

Warning: fclose() expects parameter 1 to be resource, bool given in /var/www/johnbellbooks.com/htdocs/core/krenabiz.php on line 0