内容简介：These notebooks cover an introduction to deep learning, fastai, and PyTorch. They are copyright Jeremy Howard and Sylvain Gugger, 2020 onwards.The code in the notebooks and pythonThe remainder (including all markdown cells in the notebooks and other prose)
The fastai book
These notebooks cover an introduction to deep learning, fastai, and PyTorch. They are copyright Jeremy Howard and Sylvain Gugger, 2020 onwards.
The code in the notebooks and python .py
files is covered by the GPL v3 license; see the LICENSE file for details.
The remainder (including all markdown cells in the notebooks and other prose) is not licensed for any redistribution or change of format or medium, other than making copies of the notebooks or forking this repo for your own private use. No commercial or broadcast use is allowed. We are making these materials freely available to help you learn deep learning, so please respect our copyright and these restrictions.
If you see someone hosting a copy of these materials somewhere else, please let them know that their actions are not allowed, and may lead to litigation. Moreover, they would be hurting the community, because we're not likely to release additional materials in this way if people ignore our copyright.
This is an early draft. We will be providing a channel for comments and feedback soon.
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智能Web算法（第2版）
【英】Douglas G. McIlwraith（道格拉斯 G. 麦基尔雷思）、【美】Haralambos Marmanis（哈若拉玛 玛若曼尼斯）、【美】Dmitry Babenko（德米特里•巴邦科） / 达观数据、陈运文 等 / 电子工业出版社 / 2017-7 / 69.00
机器学习一直是人工智能研究领域的重要方向，而在大数据时代，来自Web 的数据采集、挖掘、应用技术又越来越受到瞩目，并创造着巨大的价值。本书是有关Web数据挖掘和机器学习技术的一本知名的著作，第2 版进一步加入了本领域最新的研究内容和应用案例，介绍了统计学、结构建模、推荐系统、数据分类、点击预测、深度学习、效果评估、数据采集等众多方面的内容。《智能Web算法（第2版）》内容翔实、案例生动，有很高的阅......一起来看看 《智能Web算法（第2版）》 这本书的介绍吧!
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