Название: Algorithmic Aspects of Machine Learning Автор: Ankur Moitra Издательство: Cambridge University Press Год: 2018 Страниц: 158 Формат: PDF Размер: 10 Mb Язык: English
This book bridges theoretical computer science and machine learning by exploring what the two sides can teach each other. It emphasizes the need for flexible, tractable models that better capture not what makes machine learning hard, but what makes it easy. Theoretical computer scientists will be introduced to important models in machine learning and to the main questions within the field. Machine learning researchers will be introduced to cutting-edge research in an accessible format, and gain familiarity with a modern, algorithmic toolkit, including the method of moments, tensor decompositions and convex programming relaxations. The treatment beyond worst-case analysis is to build a rigorous understanding about the approaches used in practice and to facilitate the discovery of exciting, new ways to solve important long-standing problems.
Уважаемый посетитель, Вы зашли на сайт как незарегистрированный пользователь.
С этой публикацией часто скачивают:
Foundations of Machine Learning, Second Edition Название: Foundations of Machine Learning, Second Edition Автор: Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar Издательство: The MIT Press...
Навигация
Вход на сайт
Реклама
Algorithmic Aspects of Machine Learning 
