Stay up to date and learn from a list of wonderful blogs, books, papers, and code related to Data Science.
Work in progress π· - Contributions welcome π - Please let me know if any link is broken π
With contributions from everyone, this can become a comprehensive list of resources for learners.
- Books:
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- Series:
- People:
- Adit Deshpande - Very cool kid (undergrad) writing all sorts of ML/DL stuff
- Siraj - If you are a regular YouTuber, this guy needs no introduction. All-around friendly and helpful educator!
- Papers:
- Bayesian GAN - The Bayesian GAN!
- Attention is all you need - The importance of new attention mechanism, Transformer, for machine translation tasks.
- StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
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- Code:
- Tools:
- Pyro - Deep Universal Probabilistic Programming based on Python
- Books:
- Natural Language Processing - A Friendly Handbook (Elvis Saravia, 2017)
- [Speech and Language Processing] (https://web.stanford.edu/~jurafsky/slp3/ed3book.pdf)
- Slides:
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- People:
- [Dan Jurafsky - An NLP magician!] (https://web.stanford.edu/~jurafsky/)
- Papers:
- Googleβs Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation - 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 - From the Facebook AI Research Team.
- Blogs / Web:
- Two Novel Approaches for Unsupervised Machine Translation - About unsupervised machine translation methods.
- Code
- Courses:
- Books:
- Slides:
- Multi-Class Logistic Regression and Perceptron - Learn about multi-class classification with logistic regression and differences between logistic regression and perceptrons.
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- Dynamic Routing Between Capsules - Capsule-based networks that perform better than a convolutional net on MNIST. Basically, a new look to neurons or units!
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