An Introduction to Machine Learning

• Main Author: Kubat, Miroslav (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Edition: 2nd ed. 2017.
• Subjects: Computer science.; Big data.; Data mining.; Artificial intelligence.; Computational intelligence.; Computer Science.; Data Mining and Knowledge Discovery.; Artificial Intelligence (incl. Robotics).; Big Data/Analytics.; Computational Intelligence.

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 a...

Table of Contents:

• 1 A Simple Machine-Learning Task
• 2 Probabilities: Bayesian Classifiers
• Similarities: Nearest-Neighbor Classifiers
• 4 Inter-Class Boundaries: Linear and Polynomial Classifiers
• 5 Artificial Neural Networks
• 6 Decision Trees
• 7 Computational Learning Theory
• 8 A Few Instructive Applications
• 9 Induction of Voting Assemblies
• 10 Some Practical Aspects to Know About
• 11 Performance Evaluation
• 12 Statistical Significance
• 13 Induction in Multi-Label Domains
• 14 Unsupervised Learning
• 15 Classifiers in the Form of Rulesets
• 16 The Genetic Algorithm
• 17 Reinforcement Learning.