Book Description:
Series: Chapman & Hall/Crc Machine Learning & Pattern Recognition
Hardcover: 457 pages
Publisher: Chapman and Hall/CRC; 2 edition (October 8, 2014)
Language: English
ISBN-10: 1466583282
ISBN-13: 978-1466583283
Product Dimensions:
1.2 x 7 x 10 inches
Shipping Weight: 2.2 pounds (View shipping rates and policies)
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Book Details:
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.
Sell e book the panic of 1907: lessons learned from the market's perfect stormRemedying 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
Book review credit risk management: hong kong institute of bankers (hkib)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
E textbook the devils casino: friendship,betrayal,and the high stakes gamesAdditional 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.
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