# ml-road **Repository Path**: kamingli/ml-road ## Basic Information - **Project Name**: ml-road - **Description**: Machine Learning Resources, Practice and Research - **Primary Language**: Python - **License**: MIT - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2019-05-28 - **Last Updated**: 2020-12-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Machine Learning Road Machine Learning Resources, Practice and Research. *** ## Courses | Course Name | Institution | Lecturer | Link | Category | | :----------------------------------------------------------- | :------------------------- | :----------------------------------------------------------- | :------------------------------------------------------------ | :------------------------------------- | | Machine Learning | Coursera | [Andrew Ng](http://www.andrewng.org/) | [[Coursera]](https://www.coursera.org/learn/machine-learning/)[[Bilibili]](https://www.bilibili.com/video/av9912938/index_2.html#page=1)[[Youtube]](https://www.youtube.com/playlist?list=PLZ9qNFMHZ-A4rycgrgOYma6zxF4BZGGPW) | Machine Learning | | Machine Learning Foundations | National Taiwan University | [Hsuan-Tien Lin](https://www.csie.ntu.edu.tw/~htlin/) | [[Bilibili]](https://www.bilibili.com/video/av12463015/)[[Youtube]](https://www.youtube.com/playlist?list=PLXVfgk9fNX2I7tB6oIINGBmW50rrmFTqf) | Machine Learning | | Machine Learning Techniques | National Taiwan University | Hsuan-Tien Lin | [[Bilibili]](https://www.bilibili.com/video/av12469267/)[[Youtube]](https://www.youtube.com/playlist?list=PLXVfgk9fNX2IQOYPmqjqWsNUFl2kpk1U2) | Machine Learning | | Machine Learning | Stanford | Andrew Ng | [[Netease]](http://open.163.com/special/opencourse/machinelearning.html)[[Youtube]](https://www.youtube.com/playlist?list=PLA89DCFA6ADACE599) | Machine Learning | | Deep Learning | deeplearning.ai | Andrew Ng | [[Netease]](https://163.lu/nPtn42)[[Coursera]](https://www.coursera.org/specializations/deep-learning) | Deep Learning | | CS231n: Convolutional Neural Networks for Visual Recognition | Stanford | [Fei-Fei Li](http://vision.stanford.edu/feifeili/) | [[Homepage]](http://cs231n.stanford.edu/)[[Youtube]](https://www.youtube.com/playlist?list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv) | Deep Learning, Computer Vision | | CS224n: Natural Language Processing with Deep Learning | Stanford | [Christopher Manning](https://nlp.stanford.edu/manning/) | [[Homepage]](http://web.stanford.edu/class/cs224n/)[[Youtube]](https://www.youtube.com/playlist?list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6) | Deep Learning, NLP | | Deep Learning for Natural Language Processing | Oxford University | [Phil Blunsom](http://www.cs.ox.ac.uk/people/Phil.Blunsom) | [[Homepage]](http://www.cs.ox.ac.uk/teaching/courses/2016-2017/dl/)[[Slides]](https://github.com/oxford-cs-deepnlp-2017/lectures) | Deep Learning, NLP | | Applied Deep Learning / Machine Learning and Having It Deep and Structured | National Taiwan University | [Yun-Nung Chen](http://vivianchen.idv.tw/), [Hung-Yi Lee](http://speech.ee.ntu.edu.tw/~tlkagk/) | [[Homepage]](https://www.csie.ntu.edu.tw/~yvchen/f106-adl/index.html)[[Youtube]](https://www.youtube.com/watch?v=hwUca8gsXdM&feature=youtu.be) | Machine Learning, Deep Learning | | CS 20: TensorFlow for Deep Learning Research | Stanford | Chip Huyen | [[Homepage]](https://web.stanford.edu/class/cs20si/)[[Github]](https://github.com/chiphuyen/stanford-tensorflow-tutorials) | Deep Learning | | CS 294: Deep Reinforcement Learning | UC Berkeley | Sergey Levine | [[Homepage]](http://rll.berkeley.edu/deeprlcourse/)[[Youtube]](https://www.youtube.com/playlist?list=PLkFD6_40KJIznC9CDbVTjAF2oyt8_VAe3) | Deep Learning, Reinforcement Learning | | Neural Networks for NLP | CMU | [Graham Neubig](http://phontron.com/) | [[Homepage]](http://www.phontron.com/class/nn4nlp2018/assignments.html) | NLP, Deep Learning | | Mathematics of Deep Learning | NYU | Joan Bruna | [[Github]](https://github.com/joanbruna/MathsDL-spring18) | Deep Learning | | Introduction to NLP | Stanford | [Dan Jurafsky](https://web.stanford.edu/~jurafsky/), [Chris Manning](https://nlp.stanford.edu/manning/) | [[Youtube]](https://www.youtube.com/playlist?list=PL6397E4B26D00A269) | NLP | | Text Mining and Analytics | UIUC | [ChengXiang Zhai](https://zh.coursera.org/instructor/chengxiangzhai) | [[Coursera]](https://zh.coursera.org/learn/text-mining) | NLP | | Machine Learning Crash Course with TensorFlow APIs | Google | Google | [[Homepage]](https://developers.google.com/machine-learning/crash-course/) | Machine Learning, Tensorflow | | CS230: Deep Learning | Stanford | [Andrew Ng](http://www.andrewng.org/), [Kian Katanforoosh](https://www.linkedin.com/in/kiankatan/) | [[Homepage]](http://cs230.stanford.edu/) | Deep Learning | | Intro to Deep Learning with PyTorch | Facebook AI | Facebook AI | [[Udacity]](https://in.udacity.com/course/deep-learning-pytorch--ud188) | Deep Learning, PyTorch | | Introduction to Deep Learning | UC Berkeley | [Alex Smola](https://alex.smola.org/), [Mu Li](https://github.com/mli) | [[Youtube]](https://www.youtube.com/playlist?list=PLZSO_6-bSqHQHBCoGaObUljoXAyyqhpFW)[GitHub](https://github.com/d2l-ai/berkeley-stat-157) | Deep Learning | ## Books | Book Name | Author | Link | Category | | :----------------------------------------------------------- | :----------------------------------------------------------- | :----------------------------------------------------------- | :----------------------------- | | 机器学习 | 周志华 | [[Amazon]](https://www.amazon.cn/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0-%E5%91%A8%E5%BF%97%E5%8D%8E/dp/B01ARKEV1G/ref=sr_1_1?ie=UTF8&qid=1509470386&sr=8-1&keywords=%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0)[[JD]](https://item.jd.com/11867803.html) | Machine Learning | | Deep Learning | Ian Goodfellow, Yoshua Bengio, Aaron Courville | [[PDF]](https://github.com/yanshengjia/machine-learning-road/blob/master/resources/Deep%20Learning.pdf)[[中文版]](https://github.com/yanshengjia/machine-learning-road/blob/master/resources/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0.pdf) | Deep Learning | | Machine Learning | Tom Mitchell | [[PDF]](https://github.com/yanshengjia/machine-learning-road/blob/master/resources/Machine%20Learning.pdf) | Machine Learning | | Pattern Recogniton and Machine Learning | Christopher Bishop | [[PDF]](https://github.com/yanshengjia/machine-learning-road/blob/master/resources/Pattern%20Recognition%20and%20Machine%20Learning.pdf)[[中文版]](https://github.com/yanshengjia/machine-learning-road/blob/master/resources/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E4%B8%8E%E6%A8%A1%E5%BC%8F%E8%AF%86%E5%88%AB.pdf) | Machine Learning | | The Elements of Statistical Learning | Trevor Hastie, Robert Tibshirani, Jerome Friedman | [[PDF]](https://github.com/yanshengjia/machine-learning-road/blob/master/resources/The%20Elements%20of%20Statistical%20Learning%20(2nd%20Edition).pdf) | Machine Learning | | Data Mining: Practical Machine Learning Tools and Techniques | Ian H. Witten, Eibe Frank | [[PDF]](https://github.com/yanshengjia/machine-learning-road/blob/master/resources/Data%20Mining%20-%20Practical%20Machine%20Learning%20Tools%20and%20Techniques%20(2nd%20Edition).pdf) | Data Mining | | Artificial Intelligence: A Modern Approach | Sturart J. Russell, Peter Norvig | [[PDF]](https://github.com/yanshengjia/machine-learning-road/blob/master/resources/Artificial%20Intelligence%20-%20A%20Modern%20Approach%20(3rd%20Edition).pdf) | AI | | Machine Learning: A Probabilistic Perspective | Kevin P. Murphy | [[PDF]](https://github.com/yanshengjia/machine-learning-road/blob/master/resources/Machine%20Learning%20-%20A%20Probabilistic%20Perspective.pdf) | Machine Learning | | Natural Language Processing with Python | Stven Bird, Ewan Klein, Edward Loper | [[PDF]](https://github.com/yanshengjia/machine-learning-road/blob/master/resources/Natural%20Language%20Processing%20with%20Python.pdf)[[Link]](http://www.nltk.org/book_1ed/) | NLP | | Getting Started with Tensorflow | Giancarlo Zaccone | [[PDF]](https://github.com/yanshengjia/machine-learning-road/blob/master/resources/Getting%20Started%20with%20Tensorflow.pdf) | Tensorflow | | Hands-On Machine Learning with Scikit-Learn and TensorFlow | Aurélien Géron | [[PDF]](https://github.com/yanshengjia/machine-learning-road/blob/master/resources/Hands%20On%20Machine%20Learning%20with%20Scikit%20Learn%20and%20TensorFlow.pdf)[[Github]](https://github.com/ageron/handson-ml) | Machine Learning | | Deep Learning with Python | François Chollet | [[PDF]](https://github.com/yanshengjia/machine-learning-road/blob/master/resources/Deep%20Learning%20with%20Python.pdf)[[Github]](https://github.com/fchollet/deep-learning-with-python-notebooks) | Deep Learning | | Probabilistic Graphical Models: Principles and Techniques | Daphne Koller, Nir Friedman | [[PDF]](https://github.com/yanshengjia/machine-learning-road/blob/master/resources/Probabilistic%20Graphical%20Models%20-%20Principles%20and%20Techniques.pdf) | Probabilistic Graphical Model | | Speech and Language Processing | [Dan Jurafsky](http://web.stanford.edu/people/jurafsky/), [James H. Martin](http://www.cs.colorado.edu/~martin/) | [[Homepage]](https://web.stanford.edu/~jurafsky/slp3/)[[PDF]](https://github.com/yanshengjia/machine-learning-road/blob/master/resources/Speech%20and%20Language%20Processing%20(3rd%20Edition).pdf) | NLP | | Neural Network Methods for Natural Language Processing | Yoav Goldberg | [[PDF]](https://github.com/yanshengjia/machine-learning-road/blob/master/resources/Neural%20Network%20Methods%20for%20Natural%20Language%20Processing.pdf) | NLP | | 统计学习方法 | 李航 | [[Amazon]](https://www.amazon.cn/dp/B007TSFMTA/ref=sr_1_1?ie=UTF8&qid=1524798458&sr=8-1&keywords=%E7%BB%9F%E8%AE%A1%E5%AD%A6%E4%B9%A0%E6%96%B9%E6%B3%95) | Machine Learning | | Natural Language Processing | Jacob Eisenstein | [[PDF]](https://github.com/yanshengjia/machine-learning-road/blob/master/resources/Natural%20Language%20Processing.pdf) | NLP | | 动手学深度学习 | GLUON | [[PDF]](https://github.com/yanshengjia/machine-learning-road/blob/master/resources/gluon_tutorials_zh.pdf) | Deep Learning | | Feature Engineering for Machine Learning | Alice Zheng, Amanda Casari | [[PDF]](https://github.com/yanshengjia/machine-learning-road/blob/master/resources/Feature%20Engineering%20for%20Machine%20Learning.pdf)[[译]](https://github.com/apachecn/feature-engineering-for-ml-zh) | Machine Learning, Feature Engineering | | Machine Learning Yearning | Andrew Ng | [[译]](https://github.com/yanshengjia/ml-road/blob/master/resources/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%AE%AD%E7%BB%83%E7%A7%98%E7%B1%8D.pdf)[[在线阅读]](https://accepteddoge.github.io/machine-learning-yearning-cn/docs/home/) | Machine Learning | ## Papers ### NLP * Tixier A J P. Notes on Deep Learning for NLP[J]. arXiv preprint arXiv:1808.09772, 2018. [[Link]](https://arxiv.org/pdf/1808.09772.pdf)