Machine Learning with R

Machine 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.

Type
ebook
Category
Data
publication date
2019-04-15
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

no of pages
458
duration
916
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 *
approach
Clear, accessible and friendly, without shying away from the theory required to truly understand machine learning.
audience
Data scientists, students, and other practitioners who want a clear, accessible guide to machine learning with R.
meta description
Solve real-world data problems with R and machine learning
short description
Brett Lantz teaches you how to uncover key insights and make new predictions with this hands-on, practical guide to machine learning with R. This third edition is for experienced R users and beginners. The book is fully updated to R 3.6, featuring newer and better libraries, advice on ethical and bias issues, and an introduction to deep learning.
subtitle
Expert techniques for predictive modeling
keywords
Predictive analytics, statistical learning, predictive modeling, Naive-Bayes, forecasting, estimating, classification, regression, clustering, R 3.5, machine learning, R language, dive into deep learning, deep learning with R, tensorflow for deep learning
Product ISBN
9781788295864