Statistical Learning Introduction with R Applications

Statistical Learning Introduction with R Applications is an indispensable resource for anyone looking to explore the world of statistical learning with the powerful R software. This book covers essential topics in statistical learning, encompassing both supervised and unsupervised learning techniques. Readers will gain insights into data mining, inference, and the practical applications of statistical learning using R. Whether you're a data analyst, researcher, or student, this resource equips you with the knowledge and skills necessary to harness the capabilities of R for statistical learning tasks. With a focus on practicality, it offers a hands-on approach to mastering statistical learning concepts and their real-world applications.

Subjects / Topics

Mathematics and Statistics, Statistical Theory and Methods, Statistics and Computing/Statistics Programs, Artificial Intelligence, Statistics, general

Keywords Covered

R, R Software, Data Mining, Inference, Statistical Learning, Supervised Learning, Unsupervised Learning

Pages – 431