……地方。编辑：再提几个建议。《Managing Gigabytes: Compressing and Indexing Documents and Images》[2]、《Mining of Massive Datasets》[3]、《算法设计手册》[4]、《Network Algorithmics》[5]、《Neural Network Design》[6]。我觉得这些都属于“并非人人适用，但对需要这方面内容的人来说很有用”的那一类。[1]: https://github.com/clever-algorithms/CleverAlgorithms…
…places. Edit: A couple of other suggestions. Managing Gigabytes: Compressing and Indexing Documents and Images[2] Mining of Massive Datasets[3] Algorithm Design Manual[4] Network Algorithmics[5] Neural Network Design[6] I think all of these fall into the category of "Won't be applicable to everyone, but can be good for those who need this kind of stuff." [1]: https://github.com/clever-algorithms/CleverAlgorithms…
……AI：(m) AIMA 第三版（比起 Mitchell 的我更喜欢这本）。机器学习：(n) Christopher Bishop 的《Pattern Recognition and Machine Learning》，(o)《Elements of Statistical Learning》（可免费下载）。(p) Hagan、Demuth 和 Kneale 写的《Neural Network Design》，(q) Haykin 写的《Neural Networks, A Comprehensive Foundation》（第二版，虽然出了更新的版本但我不太了解，我用的就是这版）(r)……
…AI (m)AIMA 3d Edition (I prefer this to Mitchell) Machine Learning (n) "Pattern Recognition and Machine Learning" by Christopher Bishop, (o)"Elements of Statistical Learning" (free download). (p) Neural Network Design by Hagan Demuth and Kneale, (q) Neural Networks, A Comprehensive Foundation (2nd edition) - By Haykin (there is a newer edition out but I don't know anything about that, this is the one I used) (r)…
An excellent resource to get a more comprehensive review of ANNs is Neural Network Design (http://hagan.okstate.edu/nnd.html). Unfortunately, the book itself is out of print, but that link has some sample chapters and used copies are floating around. The book was written by the authors of…
……特别是在读完《快学 Scala》之后。《Learning Spark》——目前为止关于 Spark 最好的书。《Assessing and Improving Prediction and Classification》——对于 ML 和数据科学给出了一些挺有意思的思路。《Neural Network Design》——挺基础的，但我很喜欢它的行文脉络，并且总在恰好需要的时候才引入数学概念。
…especially after "Scala for the Impatient" "Learning Spark" - the best book on Spark so far "Assessing and Improving Prediction and Classification" - couple of interesting ideas for ML and Data Science "Neural Network Design" - Quite basic, but I like the flow and introducing mathematical concepts just before they're needed.
……我觉得大家不太经常讨论的一点是，很多教程即便讲了反向传播，也只局限于单个 RNN 层（对 LSTM/GRU 也是如此）。不久前我读了 M. Hagan 写的《Neural Network design》这本书，感觉书里的讲解非常到位（虽然书有点年头了）。书里讲得很清楚，足够让你把所有东西都一步步搭出来，没有任何含糊带过的地方。……
…think is talked about much, is that many tutorials, even if they show the backpropagation, only limit it to a single RNN layer (this is also true for LSTM/GRU). Some time ago, I read this book called "Neural Network design" by M. Hagan, and I found the explanations of the book to be quite good (even though the book is not new). The book explains things clearly enough for you to build everything and does not handwaive anything.…
…other courses you can pick up on Coursera or Edx or whatever. If you get really interested in neural networks (which are all the rage these days) after the Ng class, there's a freely available book on Neural Network design that you could look at. It doesn't cover all the very latest techniques, but it would help you build the foundation of understanding. http://hagan.okstate.edu/nnd.html There's also a MOOC around the…
……地方。编辑：再提几个建议。《Managing Gigabytes: Compressing and Indexing Documents and Images》[2]、《Mining of Massive Datasets》[3]、《算法设计手册》[4]、《Network Algorithmics》[5]、《Neural Network Design》[6]。我觉得这些都属于“并非人人适用，但对需要这方面内容的人来说很有用”的那一类。[1]: https://github.com/clever-algorithms/CleverAlgorithms…
…places. Edit: A couple of other suggestions. Managing Gigabytes: Compressing and Indexing Documents and Images[2] Mining of Massive Datasets[3] Algorithm Design Manual[4] Network Algorithmics[5] Neural Network Design[6] I think all of these fall into the category of "Won't be applicable to everyone, but can be good for those who need this kind of stuff." [1]: https://github.com/clever-algorithms/CleverAlgorithms…
……AI：(m) AIMA 第三版（比起 Mitchell 的我更喜欢这本）。机器学习：(n) Christopher Bishop 的《Pattern Recognition and Machine Learning》，(o)《Elements of Statistical Learning》（可免费下载）。(p) Hagan、Demuth 和 Kneale 写的《Neural Network Design》，(q) Haykin 写的《Neural Networks, A Comprehensive Foundation》（第二版，虽然出了更新的版本但我不太了解，我用的就是这版）(r)……
…AI (m)AIMA 3d Edition (I prefer this to Mitchell) Machine Learning (n) "Pattern Recognition and Machine Learning" by Christopher Bishop, (o)"Elements of Statistical Learning" (free download). (p) Neural Network Design by Hagan Demuth and Kneale, (q) Neural Networks, A Comprehensive Foundation (2nd edition) - By Haykin (there is a newer edition out but I don't know anything about that, this is the one I used) (r)…
想对人工神经网络（ANN）有更全面的了解，一本极好的参考资料是《Neural Network Design》（http://hagan.okstate.edu/nnd.html）。可惜的是这本书本身已经绝版了，但那个链接里有一些样章，市面上也有二手书在流通。这本书的作者们曾经……
An excellent resource to get a more comprehensive review of ANNs is Neural Network Design (http://hagan.okstate.edu/nnd.html). Unfortunately, the book itself is out of print, but that link has some sample chapters and used copies are floating around. The book was written by the authors of…
……特别是在读完《快学 Scala》之后。《Learning Spark》——目前为止关于 Spark 最好的书。《Assessing and Improving Prediction and Classification》——对于 ML 和数据科学给出了一些挺有意思的思路。《Neural Network Design》——挺基础的，但我很喜欢它的行文脉络，并且总在恰好需要的时候才引入数学概念。
…especially after "Scala for the Impatient" "Learning Spark" - the best book on Spark so far "Assessing and Improving Prediction and Classification" - couple of interesting ideas for ML and Data Science "Neural Network Design" - Quite basic, but I like the flow and introducing mathematical concepts just before they're needed.
……我觉得大家不太经常讨论的一点是，很多教程即便讲了反向传播，也只局限于单个 RNN 层（对 LSTM/GRU 也是如此）。不久前我读了 M. Hagan 写的《Neural Network design》这本书，感觉书里的讲解非常到位（虽然书有点年头了）。书里讲得很清楚，足够让你把所有东西都一步步搭出来，没有任何含糊带过的地方。……
…think is talked about much, is that many tutorials, even if they show the backpropagation, only limit it to a single RNN layer (this is also true for LSTM/GRU). Some time ago, I read this book called "Neural Network design" by M. Hagan, and I found the explanations of the book to be quite good (even though the book is not new). The book explains things clearly enough for you to build everything and does not handwaive anything.…
……Coursera 或 Edx 等平台上能找到的其他课程。如果在学完吴恩达的课之后，你对神经网络（最近可是大红大紫）真的很感兴趣，有一本免费公开的《Neural Network design》可以看看。它虽然没有涵盖所有最新的技术，但能帮你打牢理解的基础。http://hagan.okstate.edu/nnd.html 围绕这本书还有一个 MOOC……
…other courses you can pick up on Coursera or Edx or whatever. If you get really interested in neural networks (which are all the rage these days) after the Ng class, there's a freely available book on Neural Network design that you could look at. It doesn't cover all the very latest techniques, but it would help you build the foundation of understanding. http://hagan.okstate.edu/nnd.html There's also a MOOC around the…