Home
:
Book details
:
Book description
Description of
Practical Machine Learning : In R
The book is about quickly entering the world of creating machine learning models in R. The theory is kept to minimum and there are examples for each of the major algorithms for classification, clustering, features engineering and association rules. The book is a compilation of the leaflets the author gives to their students during the practice labs, in the courses of Pattern Recognition and Data Mining, in the Electrical and Computer Engineering Department of the Aristotle University of Thessaloniki. Guides professionals and students through the rapidly growing field of machine learning with hands-on examples in the popular R programming language Read more