Understanding Machine Learning : From Theory to Algorithms (1107057132)
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Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides a theoretical account of the fundamentals underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics, the book covers a wide array of central topics unaddressed by previous textbooks. These include a discussion of the computational complexity of learning and the concepts of convexity and stability; important algorithmic paradigms including stochastic gradient descent, neural networks, and structured output learning; and emerging theoretical concepts such as the PAC-Bayes approach and compression-based bounds. Designed for advanced undergraduates or beginning graduates, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics and engineering.
Product details
- Hardback | 410 pages
- 183 x 260 x 28mm | 910g
- 06 Mar 2019
- Cambridge University Press
- Cambridge, United Kingdom
- English
- Worked examples or Exercises; 1 Halftones, unspecified; 46 Line drawings, unspecified
- 1107057132
- 9781107057135
- 71,550
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