Description: Bayesian Reasoning and Gaussian Processes for Machine Learning Applications, Hardcover by K., Hemachandran (EDT); Tayal, Shubham (EDT); George, Preetha Mary (EDT); Singla, Parveen (EDT); Kose, Utku (EDT), ISBN 0367758474, ISBN-13 9780367758479, Like New Used, Free shipping in the US "Th Bayesian Reasoning and Gaussian Processes for Machine Learning Applications talks about Bayesian Reasoning and Gaussian Processes in machine learning applications. Bayesian methods are applied in many areas such as game development, decision making and drug discovery. It is very effective for machine learning algorithms for handling missing data and for extracting information from small datasets. This book introduces a statistical background which is needed to understand continuous distributions and it gives an understanding on how learning can be viewed from a probabilistic framework. The chapters of th progress into machine learning topics such as Belief Network, Bayesian Reinforcement Learning etc., which is followed by Gaussian Process Introduction, Classification, Regression, Covariance and Performance Analysis of GP with other models. This book is aimed primarily at graduates, researchers and professionals in the field of data science and machine learning"--
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Book Title: Bayesian Reasoning and Gaussian Processes for Machine Learning Ap
Number of Pages: 133 Pages
Language: English
Publication Name: Bayesian Reasoning and Gaussian Processes for Machine Learning Applications
Publisher: CRC Press LLC
Publication Year: 2022
Subject: Machine Theory, General, Databases / Data Mining, Probability & Statistics / Bayesian Analysis
Item Weight: 15.3 Oz
Type: Textbook
Subject Area: Computers, Mathematics
Author: Shubham Tayal
Item Length: 10 in
Item Width: 7 in
Format: Hardcover