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, 2015.
• Subjects: Computer science.; Information storage and retrieval.; Artificial intelligence.; Computer simulation.; Pattern recognition.; Computer Science.; Artificial Intelligence (incl. Robotics).; Simulation and Modeling.; Information Storage and Retrieval.; Pattern Recognition.

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, lin...

Table of Contents:

• A Simple Machine-Learning Task
• Probabilities: Bayesian Classifiers
• Similarities: Nearest-Neighbor Classifiers
• Inter-Class Boundaries: Linear and Polynomial Classifiers
• Artificial Neural Networks
• Decision Trees
• Computational Learning Theory
• A Few Instructive Applications
• Induction of Voting Assemblies
• Some Practical Aspects to Know About
• Performance Evaluation.-Statistical Significance
• The Genetic Algorithm
• Reinforcement learning.