Just Enough R!: An Interactive Approach to Machine Learning and Analytics

Name: Just Enough R!: An Interactive Approach to Machine Learning and Analytics
Brand: Taylor & Francis
SKU: 9780367443207
Price: 12568.0 INR
Availability: InStock

by Richard J. Roiger

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ISBN13: 9780367443207
Binding: Hardcover
Subject: N/A
Publisher: Taylor & Francis
Publisher Imprint: CRC Press
Publication Date: June 10, 2020
Pages: 346
Original Price: GBP 150.0
Language: English
Edition: N/A
Item Weight: 1760 grams
BISAC Subject(s): Data Science / Data Analytics, Database Administration & Management, and Machine Theory

About The Book

Just Enough R! An Interactive Approach to Machine Learning and Analytics presents just enough of the R language, machine learning algorithms, statistical methodology, and analytics for the reader to learn how to find interesting structure in data. The approach might be called "seeing then doing" as it first gives step-by-step explanations using simple, understandable examples of how the various machine learning algorithms work independent of any programming language. This is followed by detailed scripts written in R that apply the algorithms to solve nontrivial problems with real data. The script code is provided, allowing the reader to execute the scripts as they study the explanations given in the text.

Features

Gets you quickly using R as a problem-solving tool

Uses RStudio's integrated development environment

Shows how to interface R with SQLite

Includes examples using R's Rattle graphical user interface

Requires no prior knowledge of R, machine learning, or computer programming

Offers over 50 scripts written in R, including several problem-solving templates that, with slight modification, can be used again and again

Covers the most popular machine learning techniques, including ensemble-based methods and logistic regression

Includes end-of-chapter exercises, many of which can be solved by modifying existing scripts

Includes datasets from several areas, including business, health and medicine, and science

About the Author

Richard J. Roiger is a professor emeritus at Minnesota State University, Mankato, where he taught and performed research in the Computer and Information Science Department for over 30 years.

About The Author

Richard J. Roiger is a professor emeritus at Minnesota State University, Mankato where he taught and performed research in the Computer & Information Science Department for 27 years. Dr. Roiger's Ph.D. degree is in Computer & Information Sciences from the University of Minnesota. Dr. Roiger continues to serve as a part-time faculty member teaching courses in data mining, artificial intelligence and research methods. Richard enjoys interacting with his grandchildren, traveling, writing and pursuing his musical talents.

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