Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
Machine Learning: A Probabilistic Perspective introduces machine learning through probability, providing a mathematically grounded view of the field. Written by Kevin P. Murphy for the Adaptive Computation and Machine Learning series, it offers readers a structured foundation for studying learning methods and their underlying principles.
About This Book
Machine Learning: A Probabilistic Perspective presents machine learning through a probabilistic framework.
The book focuses on the relationship between learning methods and probability, offering a mathematically oriented treatment of the subject.
It belongs to the Adaptive Computation and Machine Learning series and is authored by Kevin P. Murphy.
This title is suited to readers seeking a structured introduction to the ideas and foundations of machine learning.
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