Understanding Machine Learning 2024 pdf epub mobi 电子书

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发表于2024-11-21

Understanding Machine Learning 2024 pdf epub mobi 电子书

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这本书第一部分详细地介绍了 PAC学习理论（计算学习理论和统计学习理论）。与Foundations of Machine Learning 不同之处在于，其在第四章抽出了 Uniform Convergence（依概率一致收敛）这一特性，这使得对 Agnostic PAC learning 下的泛化界的导出更加清晰。Uniform Converge...

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市面上关于machine learning (ML)的书很多，但是个人认为用一本书将ML的方方面面全部讲清楚是不可能的。粗略的来讲，ML的书籍可以分为算法(algorithm)和理论(theorem)两大类。前一类中，个人认为最近十年比较经典的教材包括Bishop的Pattern Recognition and Machine Learning，...

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出版者:Cambridge University Press

作者:Shai Shalev-Shwartz

出品人:

页数:424

译者:

出版时间:2014

价格:USD 48.51

装帧:Hardcover

isbn号码:9781107057135

丛书系列:

图书标签: 机器学习 MachineLearning 人工智能算法理论计算机科学 ML 计算机

Understanding Machine Learning 2024 pdf epub mobi 电子书图书描述

Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics of the field, the book covers a wide array of central topics that have not been addressed by previous textbooks. These include a discussion of the computational complexity of learning and the concepts of convexity and stability; important algorithmic paradigms including stochastic gradient descent, neural networks, and structured output learning; and emerging theoretical concepts such as the PAC-Bayes approach and compression-based bounds. Designed for an advanced undergraduate or beginning graduate course, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics, and engineering.

Understanding Machine Learning 2024 pdf epub mobi 电子书

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