Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)
Price: $125.00 - $98.22
(as of Nov 24,2024 00:52:33 UTC – Details)
Publisher : The MIT Press (March 1, 2022)
Language : English
Hardcover : 864 pages
ISBN-10 : 0262046822
ISBN-13 : 978-0262046824
Item Weight : 2.31 pounds
Dimensions : 8.31 x 1.27 x 9.25 inches
Customers say
Customers find the content detailed and understandable. They describe the book as a great read and excellent. However, some customers report that the cover is torn and the spine is damaged.
AI-generated from the text of customer reviews
Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)
In the world of machine learning, probabilistic models have gained significant attention for their ability to not only make predictions, but also quantify uncertainty in those predictions. This book, part of the Adaptive Computation and Machine Learning series, provides a comprehensive introduction to the field of probabilistic machine learning.
From the basics of probability theory to advanced topics such as Bayesian inference and Markov chain Monte Carlo methods, this book covers a wide range of concepts and techniques that are essential for building and understanding probabilistic machine learning models. Whether you are a beginner looking to get started in the field or a seasoned practitioner looking to deepen your knowledge, this book is a valuable resource for anyone interested in probabilistic machine learning.
Written by experts in the field, this book is accessible to readers with a basic understanding of machine learning and statistics. With clear explanations, practical examples, and exercises to reinforce concepts, Probabilistic Machine Learning: An Introduction is a must-have for anyone looking to expand their knowledge and skills in this exciting and rapidly growing field.
#Probabilistic #Machine #Learning #Introduction #Adaptive #Computation #Machine #Learning #series
