Description
| Product ID: | 9780367758479 |
| Product Form: | Hardback |
| Country of Manufacture: | GB |
| Title: | Bayesian Reasoning and Gaussian Processes for Machine Learning Applications |
| Authors: | Author: Hemachandran K, Utku Kose, Shubham Tayal, Preetha Mary George, Parveen Singla |
| Page Count: | 133 |
| Subjects: | Bayesian inference, Bayesian inference, Artificial intelligence, Artificial intelligence |
| Description: | The book talks about Bayesian Reasoning and Gaussian Processes in machine learning applications. It contains recent advancement in machine learning and highlights the applications of machine learning algorithms. This book is primarily aimed at graduates, researchers and professionals in the field of data science and machine learning. This book introduces Bayesian reasoning and Gaussian processes into 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 in handling missing data and extracting information from small datasets. Bayesian Reasoning and Gaussian Processes for Machine Learning Applications uses a statistical background to understand continuous distributions and how learning can be viewed from a probabilistic framework. The chapters progress into such machine learning topics as belief network and Bayesian reinforcement learning, which is followed by Gaussian process introduction, classification, regression, covariance, and performance analysis of Gaussian processes with other models. FEATURES
This book is aimed at graduates, researchers, and professionals in the field of data science and machine learning. |
| Imprint Name: | Chapman & Hall/CRC |
| Publisher Name: | Taylor & Francis Ltd |
| Country of Publication: | GB |
| Publishing Date: | 2022-04-14 |
