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In machine learning, hands down these are some of the best related textbooks: - [0] Pattern Recognition and Machine Learning (Information Science and Statisti
by Yadi 8y ago
In machine learning, hands down these are some of the best related textbooks:
- [0] Pattern Recognition and Machine Learning (Information
Science and Statistics)
and also:
- [1] The Elements of Statistical Learning
- [2] Reinforcement Learning: An Introduction by Barto and Sutton
- [3] The Deep Learning by Aaron Courville, Ian Goodfellow, and Yoshua Bengio
- [4] Neural Network Methods for Natural Language Processing (Synthesis Lectures on Human Language Technologies) by Yoav Goldberg
Then some math tid-bits:
[5] Introduction to Linear Algebra by Strang
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links:
- [0] [PDF](http://users.isr.ist.utl.pt/~wurmd/Livros/school/Bishop%20-%20Pattern%20Recognition%20And%20Machine%20Learning%20-%20Springer%20%202006.pdf http://users.isr.ist.utl.pt/~wurmd/Livros/school/Bishop%20-%...)
- [0][AMZ](https://www.amazon.com/Pattern-Recognition-Learning-Information-Statistics/dp/0387310738 https://www.amazon.com/Pattern-Recognition-Learning-Informat...)
- [2] [amz](https://www.amazon.com/Reinforcement-Learning-Introduction-Adaptive-Computation/dp/0262193981/ https://www.amazon.com/Reinforcement-Learning-Introduction-A...)
- [2] [site](https://www.deeplearningbook.org/ https://www.deeplearningbook.org/)
- [3] [amz](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618/ https://www.amazon.com/Deep-Learning-Adaptive-Computation-Ma...)
- [3] [pdf](http://incompleteideas.net/book/bookdraft2017nov5.pdf http://incompleteideas.net/book/bookdraft2017nov5.pdf)
- [4] [amz](https://www.amazon.com/Language-Processing-Synthesis-Lectures-Technologies-ebook/dp/B071FGKZMH https://www.amazon.com/Language-Processing-Synthesis-Lecture...)
- [5] [amz](https://www.amazon.com/Introduction-Linear-Algebra-Gilbert-Strang/dp/0980232775/ https://www.amazon.com/Introduction-Linear-Algebra-Gilbert-S...)
- larrydag 8y agoFor regression I really like Frank Harrell's Regression Modeling Strategies. http://biostat.mc.vanderbilt.edu/wiki/Main/RmS http://biostat.mc.vanderbilt.edu/wiki/Main/RmS
- rwilson4 8y agoI recently read Seber and Lee, Linear Regression Analysis, and highly recommend it. https://www.amazon.com/Linear-Regression-Analysis-George-Seber/dp/0471415405 https://www.amazon.com/Linear-Regression-Analysis-George-Seb...
- jrumbut 8y agoFrank Harrell writes a lot of great stuff and his answers on the Cross Validated Stack Exchange site are worth just reading even if you didn't think you wanted to ask the question they reply to. His blog, http://www.fharrell.com http://www.fharrell.com, also contains interesting posts.
- cbHXBY1D 8y agoI have to disagree with The Deep Learning book. I don't find it a good book for anyone. For beginners it's too advanced/theoretical and for experienced ML scientists it's entirely too basic. I very much agree with this review on Amazon [1]. For the former, I would recommend Hands-On Learning with Scikit-Learn and Tensorflow [1] https://www.amazon.com/gp/customer-reviews/R1XNPL1BX5IVOM/ref=cm_cr_dp_d_rvw_ttl?ie=UTF8&ASIN=B01MRVFGX4 https://www.amazon.com/gp/customer-reviews/R1XNPL1BX5IVOM/re...
- phonebucket 8y ago>For beginners it's too advanced/theoretical and for experienced ML scientists it's entirely too basic. As a scientist coming to deep learning from another field, I found Courville et al to be pitched at the perfect level.
- Thriptic 8y ago+1 for Elements. I started with Introduction to Statistical Learning and then graduated to Elements as I learned more and grew more confident. Those are fantastic books.
- caliber 8y agoCould you elaborate how you switched to Elements? I am curious if it makes sense for one to go through both books in sequence.
- turingcompeteme 8y agoAs an engineer who hadn't studied that type of math in quite a while, Elements was pretty tough and I was getting stuck a lot. ISLR introduces you to many of the same topics in a less rigorous way. Once I was familiar with the topics and had worked through the exercises, Elements became much easier to learn from.
- jrumbut 8y agoIf you reading Elements is difficult then I would recommend Introduction. I'm not sure if reading Introduction will prepare you for Elements so much as it will just give you some knowledge you can use and see if it makes sense for you and what you want to do to go and (re)learn some of the math tidbits that you need for Elements.
- dajohnson89 8y ago>[5] Introduction to Linear Algebra by Strang People seem to love this textbook - and understandably so because it's very approachable. But I really struggled with how informal the tone was, and how friendly it was. Perhaps I'd grown too accustomed to the typical theorem -> proof -> example -> problem set format.
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