An Introduction to Machine Learning is popular PDF and ePub book, written by Miroslav Kubat in 2021-09-25, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, An Introduction to Machine Learning can be Read Online from any device for your convenience.
An Introduction to Machine Learning Book PDF Summary
This textbook offers a comprehensive introduction to Machine Learning techniques and algorithms. This Third Edition covers newer approaches that have become highly topical, including deep learning, and auto-encoding, introductory information about temporal learning and hidden Markov models, and a much more detailed treatment of reinforcement learning. The book is written in an easy-to-understand manner with many examples and pictures, and with a lot of practical advice and discussions of simple applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, rule-induction programs, artificial neural networks, support vector machines, boosting algorithms, unsupervised learning (including Kohonen networks and auto-encoding), deep learning, reinforcement learning, temporal learning (including long short-term memory), hidden Markov models, and the genetic algorithm. Special attention is devoted to performance evaluation, statistical assessment, and to many practical issues ranging from feature selection and feature construction to bias, context, multi-label domains, and the problem of imbalanced classes.
Detail Book of An Introduction to Machine Learning PDF
- Author : Miroslav Kubat
- Release : 25 September 2021
- Publisher : Springer Nature
- ISBN : 9783030819354
- Genre : Computers
- Total Page : 458 pages
- Language : English
- PDF File Size : 13,7 Mb
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