# An Introduction to Machine Learning, 2nd Edition

## Book Description

This textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevant 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.

This revised edition contains three entirely new chapters on critical topics regarding the pragmatic application of machine learning in industry. The chapters examine multi-label domains, unsupervised learning and its use in deep learning, and logical approaches to induction. Numerous chapters have been expanded, and the presentation of the material has been enhanced. The book contains many new exercises, numerous solved examples, thought-provoking experiments, and computer assignments for independent work.

### Table of Contents

Chapter 1 A Simple Machine-Learning Task

Chapter 2 Probabilities: Bayesian Classifiers

Chapter 3 Similarities: Nearest-Neighbor Classifiers

Chapter 4 Inter-Class Boundaries: Linear And Polynomial Classifiers

Chapter 5 Artificial Neural Networks

Chapter 6 Decision Trees

Chapter 7 Computational Learning Theory

Chapter 8 A Few Instructive Applications

Chapter 9 Induction Of Voting Assemblies

Chapter 10 Some Practical Aspects To Know About

Chapter 11 Performance Evaluation

Chapter 12 Statistical Significance

Chapter 13 Induction In Multi-Label Domains

Chapter 14 Unsupervised Learning

Chapter 15 Classifiers In The Form Of Rulesets

Chapter 16 The Genetic Algorithm

Chapter 17 Reinforcement Learning

## Book Details

- Title: An Introduction to Machine Learning, 2nd Edition
- Author: Miroslav Kubat
- Length: 348 pages
- Edition: 2nd ed. 2017
- Language: English
- Publisher: Springer
- Publication Date: 2017-09-02
- ISBN-10: 3319639129
- ISBN-13: 9783319639123

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File Host | Free Download Link | Format | Size (MB) | Upload Date |
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