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Machine Learning Fundamentals: A Concise Introduction

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Machine Learning Fundamentals: A Concise Introduction - Jiang, Hui
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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 ...

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Machine Learning Fundamentals: A Concise Introduction 2021, Cambridge University Press, Cambridge

ISBN-13: 9781108940023

Trade paperback

Machine Learning Fundamentals: A Concise Introduction 2021, Cambridge University Press, Cambridge

ISBN-13: 9781108837040

Hardcover