EasieR: Practical Applications of Machine Learning Algorithms in R

Machine learning has become one of the hottest and fastest growing disciplines of the 21st century. This has resulted in a huge demand for understanding and the use of machine learning ideas and algorithms. In this text, Darrin Thomas provides explanation and examples of the implementation of machine learning algorithms using R. Various concepts such as, classification, numeric prediction, model evaluation, and model performance are discussed.

• | Author: Darrin Thomas
• | Publisher: CreateSpace Independent Publishing Platform
• | Publication Date: Sep 19, 2017
• | Number of Pages: 104 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 1976556813
• | ISBN-13: 9781976556814