| 期刊全称 | An Introduction to Machine Learning | | 影响因子2023 | Miroslav Kubat | | 视频video | | | 发行地址 | Supplies frequent opportunities to practice techniques at the end of each chapter with control questions, exercises, thought experiments, and computer assignments.Reinforces principles using well-sele | | 图书封面 |  | | 影响因子 | .This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later chapters show how to combine these simple tools by way of “boosting,” how to exploit them in more complicated domains, and how to deal with diverse advanced practical issues. One chapter is dedicated to the popular genetic algorithms.. | | Pindex | Textbook 20151st edition |
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发表于 2025-3-21 19:35:09
