The textbook is designed for advanced undergraduate and graduate students who have a background in computer programming, calculus, and linear algebra. Key topics covered include: Supervised Learning:

: Readers are introduced to a wide array of models such as decision trees, linear discrimination, multilayer perceptrons, and kernel machines.

highly regarded textbook and its availability through digital repositories.