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Machine Learning - An Algorithmic Perspective, Second Edition (Hardcover, 2nd edition)
Loot Price: R2,341
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Machine Learning - An Algorithmic Perspective, Second Edition (Hardcover, 2nd edition)
Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition
Expected to ship within 9 - 15 working days
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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.
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