Machine Learning An Algorithmic Perspective 2nd Edition by Stephen Marsland ISBN 1498759785 9781498759786

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ISBN 10: 1498759785
ISBN 13: 9781498759786
Author: Stephen Marsland

Traditional books on machine learning can be divided into two groups ― those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those that are primers on how to code algorithms. The field is ready for a text that not only demonstrates how to use the algorithms that make up machine learning methods, but also provides the background needed to understand how and why these algorithms work. Machine Learning: An Algorithmic Perspective is that text.

Machine Learning An Algorithmic Perspective 2nd Table of contents:

Chapter 1: Introduction
Chapter 2: Preliminaries
Chapter 3: Neurons, Neural Networks,and Linear Discriminants
Chapter 4: The Multi-layer Perceptron
Chapter 5: Radial Basis Functions andSplines
Chapter 6: Dimensionality Reduction
Chapter 7: Probabilistic Learning
Chapter 8: Support Vector Machines
Chapter 9: Optimisation and Search
Chapter 10: Evolutionary Learning
Chapter 11: Reinforcement Learning
Chapter 12: Learning with Trees
Chapter 13: Decision by Committee:Ensemble Learning
Chapter 14: Unsupervised Learning
Chapter 15: Markov Chain Monte Carlo(MCMC) Methods
Chapter 16: Graphical Models
Chapter 17: Symmetric Weights and DeepBelief Networks
Chapter 18: Gaussian Processes

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