
Mastering Machine Learning with R
Master machine learning techniques with R to deliver insights for complex projects
Cory Lesmeister(Author)
Packt Publishing
Published on 28. October 2015
Book
Paperback/Softback
400 pages
978-1-78398-452-7 (ISBN)
Description
Master machine learning techniques with R to deliver insights for complex projects
Key Features
Book DescriptionMachine learning is a field of Artificial Intelligence to build systems that learn from data. Given the growing prominence of R-a cross-platform, zero-cost statistical programming environment-there has never been a better time to start applying machine learning to your data.
The book starts with introduction to Cross-Industry Standard Process for Data Mining. It takes you through Multivariate Regression in detail. Moving on, you will also address Classification and Regression trees. You will learn a couple of "Unsupervised techniques". Finally, the book will walk you through text analysis and time series.
The book will deliver practical and real-world solutions to problems and variety of tasks such as complex recommendation systems. By the end of this book, you will gain expertise in performing R machine learning and will be able to build complex ML projects using R and its packages.What you will learn
Gain deep insights to learn the applications of machine learning tools to the industry
Manipulate data in R efficiently to prepare it for analysis
Master the skill of recognizing techniques for effective visualization of data
Understand why and how to create test and training data sets for analysis
Familiarize yourself with fundamental learning methods such as linear and logistic regression
Comprehend advanced learning methods such as support vector machines
Realize why and how to apply unsupervised learning methods
Who this book is for
Key Features
Book DescriptionMachine learning is a field of Artificial Intelligence to build systems that learn from data. Given the growing prominence of R-a cross-platform, zero-cost statistical programming environment-there has never been a better time to start applying machine learning to your data.
The book starts with introduction to Cross-Industry Standard Process for Data Mining. It takes you through Multivariate Regression in detail. Moving on, you will also address Classification and Regression trees. You will learn a couple of "Unsupervised techniques". Finally, the book will walk you through text analysis and time series.
The book will deliver practical and real-world solutions to problems and variety of tasks such as complex recommendation systems. By the end of this book, you will gain expertise in performing R machine learning and will be able to build complex ML projects using R and its packages.What you will learn
Gain deep insights to learn the applications of machine learning tools to the industry
Manipulate data in R efficiently to prepare it for analysis
Master the skill of recognizing techniques for effective visualization of data
Understand why and how to create test and training data sets for analysis
Familiarize yourself with fundamental learning methods such as linear and logistic regression
Comprehend advanced learning methods such as support vector machines
Realize why and how to apply unsupervised learning methods
Who this book is for
More details
Language
English
Place of publication
Birmingham
United Kingdom
Dimensions
Height: 235 mm
Width: 191 mm
Thickness: 21 mm
Weight
744 gr
ISBN-13
978-1-78398-452-7 (9781783984527)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Cory Lesmeister
Mastering Machine Learning with R
Master machine learning techniques with R to deliver insights for complex projects
E-Book
07/2025
1st Edition
Packt Publishing Limited
€41.49
Available for download
Person
Cory Lesmeister has over fourteen years of quantitative experience and is currently a senior data scientist for the advanced analytics team at Cummins, Inc. in Columbus, Indiana. He has spent 16 years at Eli Lilly and Company in sales, market research, Lean Six Sigma, marketing analytics, and new product forecasting. He also has several years of experience in the insurance and banking industries, both as a consultant and as a manager of marketing analytics. A former US Army active duty and reserve officer, Cory was stationed in Baghdad, Iraq, in 2009. Here, he served as the strategic advisor to the 29,000-person Iraqi Oil Police, succeeding where others failed by acquiring and delivering promised equipment to help the country secure and protect its oil infrastructure. He has a BBA in aviation administration from the University of North Dakota and a commercial helicopter license.
Content
Table of Contents
Business Understanding - The Road toActionable Insights
Linear Regression
Logistic Regression and Discriminant Analysis
Multivariate Regression part 2 ? AdvancedFeature Selection
Classification ? Taking it to the Next Level
Classification & Regression Trees
Unsupervised Techniques ? PrincipalComponents
Unsupervised Techniques ? Clustering
Text Analysis
Social Media Mining
Advanced Applications
Text Mining
Appendix B: Getting R on the Cloud
Business Understanding - The Road toActionable Insights
Linear Regression
Logistic Regression and Discriminant Analysis
Multivariate Regression part 2 ? AdvancedFeature Selection
Classification ? Taking it to the Next Level
Classification & Regression Trees
Unsupervised Techniques ? PrincipalComponents
Unsupervised Techniques ? Clustering
Text Analysis
Social Media Mining
Advanced Applications
Text Mining
Appendix B: Getting R on the Cloud