Machine Learning

Machine Learning: A Concise Introduction, 1st Edition, by Steven W. Knox, presents the core methods and principles of statistical machine learning. Published by Wiley-Blackwell in the Wiley Series in Probability and Statistics, the textbook connects mathematical foundations to practical modeling.

The volume covers central topics in the field, including regression, classification techniques, and the balance between bias and variance. It also addresses unsupervised methods such as clustering alongside model evaluation, risk estimation, and consistency.

Practical aspects of implementation are reinforced with dedicated R source code. The work also examines optimization, high-dimensional data, and client communication.