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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning

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Machine Learning - An Algorithmic Perspective, Second Edition (Hardcover, 2nd edition) Loot Price: R2,453
Discovery Miles 24 530
Machine Learning - An Algorithmic Perspective, Second Edition (Hardcover, 2nd edition): Stephen Marsland

Machine Learning - An Algorithmic Perspective, Second Edition (Hardcover, 2nd edition)

Stephen Marsland

Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition

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Loot Price R2,453 Discovery Miles 24 530 | Repayment Terms: R230 pm x 12*

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A Proven, Hands-On Approach for Students without a Strong Statistical Foundation Since the best-selling first edition was published, there have been several prominent developments in the field of machine learning, including the increasing work on the statistical interpretations of machine learning algorithms. Unfortunately, computer science students without a strong statistical background often find it hard to get started in this area. Remedying this deficiency, Machine Learning: An Algorithmic Perspective, Second Edition helps students understand the algorithms of machine learning. It puts them on a path toward mastering the relevant mathematics and statistics as well as the necessary programming and experimentation. New to the Second Edition Two new chapters on deep belief networks and Gaussian processes Reorganization of the chapters to make a more natural flow of content Revision of the support vector machine material, including a simple implementation for experiments New material on random forests, the perceptron convergence theorem, accuracy methods, and conjugate gradient optimization for the multi-layer perceptron Additional discussions of the Kalman and particle filters Improved code, including better use of naming conventions in Python Suitable for both an introductory one-semester course and more advanced courses, the text strongly encourages students to practice with the code. Each chapter includes detailed examples along with further reading and problems. All of the code used to create the examples is available on the author's website.

General

Imprint: Crc Press
Country of origin: United States
Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition
Release date: October 2014
First published: 2015
Authors: Stephen Marsland
Dimensions: 262 x 185 x 27mm (L x W x T)
Format: Hardcover
Pages: 437
Edition: 2nd edition
ISBN-13: 978-1-4665-8328-3
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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LSN: 1-4665-8328-2
Barcode: 9781466583283

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