Understanding Machine Learning: From Theory to AlgorithmsКНИГИ » ПРОГРАММИНГ
Название: Understanding Machine Learning: From Theory to Algorithms Автор: Shai Shalev-Shwartz, Shai Ben-David Издательство: Cambridge University Press Год: 2014 Страниц: 410 Формат: True PDF Размер: 10 Mb Язык: English
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.
Foundations of Machine Learning, Second Edition Название: Foundations of Machine Learning, Second Edition Автор: Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar Издательство: The MIT Press...
Lie Group Machine Learning Название: Lie Group Machine Learning Автор: Fanzhang Li Издательство: de Gruyter Год: 2019 Страниц: 533 Формат: PDF Размер: 14 Mb Язык: English This...
Machine Learning Paradigms: Theory and Application Название: Machine Learning Paradigms: Theory and Application Автор: Aboul Ella Hassanien Издательство: Springer Год: 2019 Страниц: 474 Формат: PDF,...
Machine Learning with R Название: Machine Learning with R Автор: Abhijit Ghatak Издательство: Springer ISBN: 9811068070 Год: 2017 Страниц: 224 Язык: английский Формат:...
Навигация
Вход на сайт
Реклама
Understanding Machine Learning: From Theory to Algorithms 
