PirateBay Download | jiang h machine learning fundamentals concise introd 2022

jiang h machine learning fundamentals concise introd 2022

Type:: E-books
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Size:: 64.0 MB
Uploaded On:: Jan. 21, 2022, noon
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Info Hash:: 88103051E5C9A8167AA5F9BE700E03247FBDFF60

Textbook in PDF format 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 in 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

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Jiang H. Machine Learning Fundamentals. A Concise Introduction 2022.pdf 64.0 MB

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jiang h machine learning fundamentals concise introd 2022