Machine Learning Fundamentals: A Concise IntroductionКНИГИ » ПРОГРАММИНГ
Название: Machine Learning Fundamentals: A Concise Introduction Автор: Hui Jiang Издательство: Cambridge University Press Год: 2022 Формат: PDF Страниц: 420 Размер: 64 Mb Язык: English
This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The author assumes basic calculus, linear algebra, probability and statistics but no prior exposure to machine learning. Coverage includes widely used traditional methods such as SVMs, boosted trees, HMMs, and LDAs, plus popular deep learning methods such as convolution neural nets, attention, transformers, and GANs. Organized in a coherent presentation framework that emphasizes the big picture, the text introduces each method clearly and concisely “from scratch” based on the fundamentals. All methods and algorithms are described by a clean and consistent style, with a minimum of unnecessary detail. Numerous case studies and concrete examples demonstrate how the methods can be applied in a variety of contexts.
Machine Learning with R Название: Machine Learning with R Автор: Abhijit Ghatak Издательство: Springer ISBN: 9811068070 Год: 2017 Страниц: 224 Язык: английский Формат:...
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Machine Learning Fundamentals: A Concise Introduction 
