Shai (Hebrew University of Jerusalem) Shalev-Shwar Understanding Machine Learning : From Theory to Algorithms Deals

Product Name: Understanding Machine Learning : From Theory to Algorithms

Product Category: Books in Media

Manufacturer: Shai (Hebrew University of Jerusalem) Shalev-Shwar

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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.

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