Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Bayesian Reasoning And Gaussian Processes For Machine Learning ApplicationsISBN13:9780367758479ISBN10:0367758474Author:K, Hemachandran (Editor), Tayal, Shubham (Editor), George, Preetha Mary (Editor)Description:The Book 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 The Book 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 Features - Contains Recent Advancement In Machine Learning- Highlights The Applications Of Machine Learning Algorithms- Offers Both Quantitative And Qualitative Research- Includes Lot Of Case Studiesthis Book Is Aimed Primarily At Graduates, Researchers And Professionals In The Field Of Data Science And Machine Learning Binding:Hardcover, HardcoverPublisher:CRC PressPublication Date:2022-04-20Weight:0 lbsDimensions:Number of Pages:144Language:English
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Book Title: Bayesian Reasoning And Gaussian Processes For Machine Learni...
Item Length: 10in
Item Width: 7in
Author: Shubham Tayal
Publication Name: Bayesian Reasoning and Gaussian Processes for Machine Learning Applications
Format: Hardcover
Language: English
Publisher: CRC Press LLC
Publication Year: 2022
Type: Textbook
Item Weight: 15.3 Oz
Number of Pages: 133 Pages