Machine Learning with R

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing, Programming
Cover of the book Machine Learning with R by Abhijit Ghatak, Springer Singapore
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Abhijit Ghatak ISBN: 9789811068089
Publisher: Springer Singapore Publication: November 23, 2017
Imprint: Springer Language: English
Author: Abhijit Ghatak
ISBN: 9789811068089
Publisher: Springer Singapore
Publication: November 23, 2017
Imprint: Springer
Language: English

This book helps readers understand the mathematics of  machine learning, and apply them in different situations. It is divided into two basic parts, the first of which introduces readers to the theory of linear algebra, probability, and data distributions and it’s applications to machine learning. It also includes a detailed introduction to the concepts and constraints of machine learning and what is involved in designing a learning algorithm. This part helps readers understand the mathematical and statistical aspects of machine learning.

In turn, the second part discusses the algorithms used in supervised and unsupervised learning. It works out each learning algorithm mathematically and encodes it in R to produce customized learning applications. In the process, it touches upon the specifics of each algorithm and the science behind its formulation.

The book includes a wealth of worked-out examples along with R codes. It explains the code for each algorithm, and readers can modify the code to suit their own needs. The book will be of interest to all researchers who intend to use R for machine learning, and those who are interested in the practical aspects of implementing learning algorithms for data analysis. Further, it will be particularly useful and informative for anyone who has struggled to relate the concepts of mathematics and statistics to machine learning.

 

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book helps readers understand the mathematics of  machine learning, and apply them in different situations. It is divided into two basic parts, the first of which introduces readers to the theory of linear algebra, probability, and data distributions and it’s applications to machine learning. It also includes a detailed introduction to the concepts and constraints of machine learning and what is involved in designing a learning algorithm. This part helps readers understand the mathematical and statistical aspects of machine learning.

In turn, the second part discusses the algorithms used in supervised and unsupervised learning. It works out each learning algorithm mathematically and encodes it in R to produce customized learning applications. In the process, it touches upon the specifics of each algorithm and the science behind its formulation.

The book includes a wealth of worked-out examples along with R codes. It explains the code for each algorithm, and readers can modify the code to suit their own needs. The book will be of interest to all researchers who intend to use R for machine learning, and those who are interested in the practical aspects of implementing learning algorithms for data analysis. Further, it will be particularly useful and informative for anyone who has struggled to relate the concepts of mathematics and statistics to machine learning.

 

More books from Springer Singapore

Cover of the book Opposition Vanishing by Abhijit Ghatak
Cover of the book Real-Time Visual Effects for Game Programming by Abhijit Ghatak
Cover of the book High-Frequency Isolated Bidirectional Dual Active Bridge DC–DC Converters with Wide Voltage Gain by Abhijit Ghatak
Cover of the book Water Quality Management by Abhijit Ghatak
Cover of the book Multidisciplinary Perspectives on Play from Birth and Beyond by Abhijit Ghatak
Cover of the book Urban Eco-Communities in Australia by Abhijit Ghatak
Cover of the book Information Science and Applications 2017 by Abhijit Ghatak
Cover of the book Contemporary Conflicts in Southeast Asia by Abhijit Ghatak
Cover of the book Silk Road to Belt Road by Abhijit Ghatak
Cover of the book China’s Macroeconomic Outlook by Abhijit Ghatak
Cover of the book Topology Optimization Theory for Laminar Flow by Abhijit Ghatak
Cover of the book Distributed Parameter Modeling and Boundary Control of Flexible Manipulators by Abhijit Ghatak
Cover of the book Parallel Architecture, Algorithm and Programming by Abhijit Ghatak
Cover of the book Mobile and Wireless Technology 2018 by Abhijit Ghatak
Cover of the book Single Cell Analysis by Abhijit Ghatak
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy