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Machine Learning

169,000₫

Unfortunately, computer science students without a strong statistical background often find it hard to get started in this area.

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Mã sản phẩm: STA651
Danh mục: Sách IT, Sách chuyên ngành
Tình trạng: Còn hàng

Mô tả

Machine Learning (Sách gia công, Bìa mềm)

Machine Learning 1

Thể loại:Computers - Computer Science

Computers - Cybernetics

Năm:2014

In lần thứ:2

Ngôn ngữ:English

Trang:452

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.