https://github.com/omarsar/data_science_bookmarks
A list of wonderful blogs, articles, papers, ... related to data science
https://github.com/omarsar/data_science_bookmarks
Last synced: 7 months ago
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A list of wonderful blogs, articles, papers, ... related to data science
- Host: GitHub
- URL: https://github.com/omarsar/data_science_bookmarks
- Owner: omarsar
- Created: 2017-11-10T08:42:38.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2017-12-09T07:12:45.000Z (almost 8 years ago)
- Last Synced: 2025-01-23T06:23:59.764Z (9 months ago)
- Size: 16.6 KB
- Stars: 4
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
### Data Science Bookmarks :book:
Stay up to date and learn from a list of wonderful blogs, books, papers, and code related to Data Science.
Work in progress :construction_worker: - Contributions welcome :smile: - Please let me know if any link is broken :link:
With contributions from everyone, this can become a comprehensive list of resources for learners.
---
### Deep Learning
- Books:
- [Deep Learning (Ian Goodfellow and Yoshua Bengio and Aaron Courville)](https://goo.gl/GkqJs2)
- Slides:
- Series:
- [Deep Learning Research Review (GAN, NLP, Reinforcement Learning, ...)](https://goo.gl/PwwmMH)
- [Montreal Institute for Learning Algorithms](https://github.com/mila-udem/welcome_tutorials)
- People:
- [Adit Deshpande](https://github.com/adeshpande3) - Very cool kid (undergrad) writing all sorts of ML/DL stuff
- [Siraj](https://github.com/llSourcell) - If you are a regular YouTuber, this guy needs no introduction. All-around friendly and helpful educator!
- Papers:
- [Bayesian GAN](https://arxiv.org/pdf/1705.09558.pdf) - The Bayesian GAN!
- [Attention is all you need](https://arxiv.org/pdf/1706.03762.pdf) - The importance of new attention mechanism, Transformer, for machine translation tasks.
- [StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation](https://arxiv.org/pdf/1711.09020.pdf)
- Blogs:
- [What is a CapsNet or Capsule Network?](https://hackernoon.com/what-is-a-capsnet-or-capsule-network-2bfbe48769cc)
- [Attention and Memory in Deep Learning and NLP](http://www.wildml.com/2016/01/attention-and-memory-in-deep-learning-and-nlp/)
- [A Tutorial on Deep Learning Part 2: Autoencoders, Convolutional Neural Networks and Recurrent Neural Networks](http://ai.stanford.edu/~quocle/tutorial2.pdf)
- [Generate your own sounds with NSynth](https://magenta.tensorflow.org/nsynth-fastgen)
- Code:
- [Pokemon GAN](https://github.com/llSourcell/Pokemon_GAN)
- [Bayesian Generative Adversarial Networks in Tensorflow](https://github.com/andrewgordonwilson/bayesgan)
- Tools:
- [Pyro](http://pyro.ai/) - Deep Universal Probabilistic Programming based on Python
---
### Natural Language Processing
- Books:
- [Natural Language Processing - A Friendly Handbook (Elvis Saravia, 2017)](https://goo.gl/PTy9QS)
- [Speech and Language Processing] (https://web.stanford.edu/~jurafsky/slp3/ed3book.pdf)
- Slides:
- [Stanford NLP](https://web.stanford.edu/~jurafsky/NLPCourseraSlides.html)
- Series:
- [Stanford-NLP with Deep Learning](https://www.youtube.com/playlist?list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6)
- People:
- [Dan Jurafsky - An NLP magician!] (https://web.stanford.edu/~jurafsky/)
- Papers:
- [Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation](https://arxiv.org/pdf/1611.04558.pdf) - As the name implies, a multilingual translation system that makes use of an artificial token to specify target language before training.
- [Back of Tricks for Efficient Text Classification](https://arxiv.org/pdf/1607.01759.pdf) - From the Facebook AI Research Team.
- Blogs / Web:
- [Two Novel Approaches for Unsupervised Machine Translation](http://ankitg.me/blog/2017/11/05/unsupervised-machine-translation.html) - About unsupervised machine translation methods.
- Code
- [Awesome NLP](https://github.com/keon/awesome-nlp)
- [Deep NLP with Pytorch](https://github.com/DSKSD/DeepNLP-models-Pytorch)
- [DeepLearning For NLP with Pytorch](https://github.com/rguthrie3/DeepLearningForNLPInPytorch)
- Courses:
- [CS224d: Deep Learning for Natural Language Processing](http://cs224d.stanford.edu/syllabus.html)
---
### Machine Learning
- Books:
- [Machine Learning - A Friendly Handbook (Elvis Saravia, 2017)](https://goo.gl/oWBYQQ)
- Slides:
- [Multi-Class Logistic Regression and Perceptron](https://cocoxu.github.io/courses/5525_slides_spring17/06_perceptron.pdf) - Learn about multi-class classification with logistic regression and differences between logistic regression and perceptrons.
- Series:
- People:
- Papers:
- [Dynamic Routing Between Capsules](https://arxiv.org/pdf/1710.09829.pdf) - Capsule-based networks that perform better than a convolutional net on MNIST. Basically, a new look to neurons or units!
- Blogs / Web:
- Code:
- [Capsule Nets implementation on Tensorflow](https://github.com/naturomics/CapsNet-Tensorflow)
---
### Text Mining
- Books:
- Slides:
- [Quick Tour of Text Mining (Professor Yi-Shin Chen, 2017)](https://goo.gl/KaqBc5)
- Series:
- [The Friendly Data Science Series (Elvis Saravia)](https://goo.gl/U4RaU3)
- People:
- Papers:
- Blogs / Web:
- Code:
---
### Data Mining
- Books:
- Slides:
- [Quick Tour of Data Mining (Professor Yi-Shin Chen, 2017)](https://goo.gl/UAooLX)
- Series:
- [The Friendly Data Science Series (Elvis Saravia)](https://goo.gl/U4RaU3)
- People:
- Papers:
- Blogs / Web:
- Code
---
### Computational Mathematics
- Books:
- Slides
- Series:
- People:
- Papers:
- Blogs / Web:
- [Computational Mathematics - Lectures by Professor Chaur-Chin Chen](https://goo.gl/X5MXs2)
- Code
---
### Probability Theory & Statistics
- Books:
- Slides
- Series:
- People:
- Papers:
- Blogs / Web:
- [Probability Theory - Lectures by Professor Chaur-Chin Chen](https://goo.gl/9djNqr)
- Code
---