The Machine Learning - (Adaptive Computation and Machine Learning) by Kevin P Murphy (Hardcover)

This comprehensive introduction to machine learning uses probabilistic models and inference as a unifying approach, providing a self-contained and informative textbook for upper-level undergraduates and beginning graduate students.

With a focus on model-based methods and graphical models, the book offers a principled approach to data analysis, complete with worked examples and color images from various application domains.

The author has also developed a freely available software package, PMTK (probabilistic modeling toolkit), to support the text.

This is an excellent resource for anyone looking to gain a deep understanding of machine learning principles and how to apply them in practice.