Machine Learning Fundamentals:A Concise Introduction

机器学习基础:简明介绍

计算机科学技术基础学科

售   价:
797.00
发货周期:预计5-7周发货
作      者
出  版 社
出版时间
2021年09月30日
装      帧
精装
ISBN
9781108837040
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页      码
400
语      种
英文
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库存 29 本
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图书简介
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.
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