Can I read Bayesian Reasoning and Gaussian Processes for Machine Learning Applications on EtoBox?

Bayesian Reasoning and Gaussian Processes for Machine Learning Applications by Hemachandran K, Shubham Tayal, Preetha Mary George, Parveen Singla, Utku Kose (Eds.) is a nonfiction available to read on EtoBox.

What is Bayesian Reasoning and Gaussian Processes for Machine Learning Applications about?

When we look into the past years, we can see an explosion in theapplications of machine learning, particularly in e-commerce, social media,gaming, drug discovery, and many other verticals. These applications werefocused on predictive accuracy and involved huge amounts of data. Bayesianmethods give superpowers to machine learning algorithms, in handlingmissing data and in extracting information from small data sets. Bayesianmethods help estimate uncertainty in predictions, which enhances the fieldof medicine. They allow to compress models a hundredfold and toautomatically tune hyperparameters by saving time and money. In BayesianReasoning and Gaussian Processes for Machine Learning Applications, wediscuss the basics of Bayesian methods, define probabilistic models, andmake predictions using them. We discuss the automated workflow and someadvanced techniques on how to speed up the process. We also look into theapplications of Bayesian methods in deep learning and to generate images.This book is designed to encourage researchers and students frommultiple disciplines toward the arena of applications of machine learning. Itaims to introduce a statistical background needed to understand

Who reads Bayesian Reasoning and Gaussian Processes for Machine Learning Applications?

Author

Hemachandran K, Shubham Tayal, Preetha Mary George, Parveen Singla, Utku Kose (Eds.)

Publisher

Chapman and Hall/CRC

Published

2022

Language

EN

ISBN

9781000569599

Category

nonfiction

Subjects

Mathematics, Business, Science