Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)

Price: $125.00 – $110.59
(as of Dec 15,2024 18:10:57 UTC – Details)

Publisher ‏ : ‎ The MIT Press; Illustrated edition (August 24, 2012)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 1104 pages
ISBN-10 ‏ : ‎ 0262018020
ISBN-13 ‏ : ‎ 978-0262018029
Item Weight ‏ : ‎ 2.31 pounds
Dimensions ‏ : ‎ 8.31 x 1.61 x 9.31 inches

Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)

In the world of artificial intelligence and data science, machine learning is a powerful tool that allows computers to learn from data and make predictions or decisions without being explicitly programmed. One popular approach to machine learning is the probabilistic perspective, which views machine learning as a form of statistical inference where uncertainty is explicitly modeled using probability theory.

The book “Machine Learning: A Probabilistic Perspective” is an essential resource for anyone looking to dive deeper into this approach. Written by Kevin P. Murphy, a leading expert in the field, this book provides a comprehensive introduction to the probabilistic perspective on machine learning.

The book covers a wide range of topics, including Bayesian networks, hidden Markov models, Gaussian processes, and more. It also includes practical examples and exercises to help readers understand and apply the concepts discussed.

Whether you are a beginner looking to learn the basics of machine learning or an experienced practitioner seeking to deepen your understanding of the probabilistic perspective, this book is a must-read. Join the ranks of those who have benefited from this invaluable resource and take your machine learning skills to the next level.
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