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Understanding Machine Learning
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Understanding Machine Learning
Understanding Machine Learning
artikal br.: 16258219

Understanding Machine Learning

87% of respondents would recommend this to a friend

artikal br.: 16258219

RSD 7931

RSD 10812

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Explore the best deals on Understanding Machine Learning: From Theory to Algorithms 1st Edition at Ubuy Serbia. Find comprehensive insights into machine learning theory and algorithms. Order now!
  • 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 an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics of the field, the book covers a wide array of central topics that have not been addressed 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 an advanced undergraduate or beginning graduate course, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics, and engineering.
Publisher Cambridge University Press
Publication date July 17, 2014
Edition 1st
Language English
Print length 414 pages
ISBN-10 1107057132
ISBN-13 978-1107057135
Item Weight 2 pounds (910 grams)
Dimensions 7.2 x 1.1 x 10.24 inches (18.3 x 2.8 x 26 cm)

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Understanding Machine Learning

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RSD 7931

RSD 10812

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