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[资料] Understanding Machine Learning: From Theory to Algorithms

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发表于 2017-5-7 20:31:28 | 显示全部楼层 |阅读模式

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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. 51hTlbMnyFL._SX346_BO1,204,203,200_.jpg

understanding-machine-learning-theory-algorithms.pdf (2.48 MB, 下载次数: 2401 )
发表于 2017-5-8 20:11:52 | 显示全部楼层
thanks.nice
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发表于 2017-5-9 15:02:48 | 显示全部楼层
看看,谢谢啊!
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发表于 2017-5-10 15:26:36 | 显示全部楼层
好资料,好好
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发表于 2017-5-12 10:14:36 | 显示全部楼层
谢谢分享
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发表于 2017-5-17 08:44:11 | 显示全部楼层
感謝分享!
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发表于 2017-5-17 14:03:13 | 显示全部楼层
回复 1# asd223100


    Thanks for sharing
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发表于 2017-5-21 09:19:47 | 显示全部楼层
thanks.....
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发表于 2017-5-21 19:27:30 | 显示全部楼层
感谢分享
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发表于 2017-5-22 14:14:27 | 显示全部楼层
回复 1# asd223100


    谢谢楼主,很好的机器学习理论书
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