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Machine Learning: An Algorithmic Perspective (Chapman & Hall/Crc Machine Learning & Pattern Recognition) by Stephen Marsland is a nonfiction available to read on EtoBox.

What is Machine Learning: An Algorithmic Perspective (Chapman & Hall/Crc Machine Learning & Pattern Recognition) about?

<p>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. <b>Machine Learning: An Algorithmic Perspective</b> is that text.</p> <p class="null1">Theory Backed up by Practical Examples</p> <p>The book covers neural networks, graphical models, reinforcement learning, evolutionary algorithms, dimensionality reduction methods, and the important area of optimization. It treads the fine line between adequate academic rigor and overwhelming students with equations and mathematical concepts. The author addresses the topics in a practical way while providing complete information and references where other expositions can be found. He includes examples based on widely available datasets and practical and theoretical problems to test understanding and application of the material. The book describes algorithms with cod

Who reads Machine Learning: An Algorithmic Perspective (Chapman & Hall/Crc Machine Learning & Pattern Recognition)?

Author

Stephen Marsland

Publisher

Chapman and Hall/CRC

Published

2009

Language

EN

ISBN

9781420067187

Category

nonfiction

Subjects

Business, Programming, Computer Science