eBook
Bayesian Reasoning and Gaussian Processes for Machine Learning Applications
| Title: | Bayesian Reasoning and Gaussian Processes for Machine Learning Applications |
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| Description: | 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 Contains recent advancements in machine learning Highlights applications of machine learning algorithms Offers both quantitative and qualitative research Includes numerous case studies This book is aimed at graduates, researchers, and professionals in the field of data science and machine learning. |
| Authors: | Hemachandran K, Shubham Tayal, Preetha Mary George, Parveen Singla, Utku Kose |
| Resource Type: | eBook. |
| Subjects: | Machine learning, Gaussian processes--Data processing, Bayesian statistical decision theory--Data processing |
| Categories: | MATHEMATICS / Probability & Statistics / Bayesian Analysis, BUSINESS & ECONOMICS / Statistics, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Machine Theory, MATHEMATICS / Probability & Statistics / General |
| Database: | eBook Index |
| ISBN: | 9780367758479 9780367758493 9781000569582 9781000569599 9781003164265 |
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