A curated list of resources to help you get started with Data Science.
Inspired by awesome-python.
- Numfocus - Open Code, Better Science
- Arvix Sanity Preserver - Top arxiv's paper all time
- Interactive Machine Learning - Interactive Machine Learning, Deep Learning and Statistics
- Machine Learning course - Andrew Ng (Stanford) - Coursena
- Deep Learning course - Andrew Ng (Stanford) - Coursena
- CS231 - CNN for Visual Recognition (Stanford)
- CD224d/n - NLP with Deep Learning (Stanford)
- Statistics and probability - Khanacademy
- Fast.ai - Deep Learning for Coders
- Bloomberg - Foundations of Machine Learning
- Machine Learning crash course - Google
- Data Science Handbook - Numpy, Pandas, Matplotlib, Machine Learning with Scikit-learn.
- Speech and Language Processing - Stanford (Draft Version)
- Neural Networks and Deep Learning - Deep Learning tutorial
- Deep Learning book
- An Introduction to Statistical Learning - with Applications in R
- An Elements of Statistical Learning
- Think Stats - Probability and Statistics for Programmers
- Think Bayes - Bayesian Statistics Made Simple
- Introduction to Probability - Massachusetts Institute of Technology (PDF Version)
- Cookiecutter Data Science - Cookiecutter Data Science
- Data Science at the Command Line - Data Science at the Command Line
- Scikit-learn - Machine Learning
- Scikit-image - Image Processing
- Numpy - Scientific Computing
- Scipy - Numerical Integration and Optimization
- Pandas - Data Analysis Toolkit
- Matplotlib - Data Visualization
- Sympy - Symbolic Mathematics
- Jupyter - Interactive Computing, Research and Education
- Tensorflow - Deep Learning (Google)
- Pytorch - Deep Learning (Facebook)
- Keras - Deep Learning lib for Human (High-level API)
- xgboost / LightGBM / catboost - Gradient Boosting
- NLTK - NLP
- Gensim - Topic Modeling
- Librora - Audio and Music Analysis
- Featuretools - Automated Feature Engineering
- Scrapy - Web Scraping
- NetworkX - Graphs and Networks
- Shogun - Machine Learning Toolbox (C++)
- Annoy - Spotify - Approximate Nearest Neighbors (for NOT-SPARSE data)
- Pysparnn - Facebook - Approximate Nearest Neighbors (for SPARSE data)
- Faiss - Facebook - Similarity search and clustering (Dense Vectors)
- Machine Learning cơ bản - Tiep Vu Huu
- Medium - Toward Data Science
- Medium - InsightData
- OpenAI
- WildML
- Distill.pub
- Colab's blog
- Lilianweng's blog
- Ruder's blog
- Echen's blog
- Giant Neural Network - Introduction to Neural Network
- 3Blue1Brown - Introduction to Neural Network
- Two Minute Papers - Paper review channel
- Deep Learning dot AI - Deep Learning course by Andrew Y. Ng (Stanford)
- Hvass Laboratories - Tensorflow Tutorial
- Code Bullet - Reinforcement Learning
- DeepMind
- Twitter
- 50 AI Influencers to follow on Twitter - link pdf
- Medium
- Towards Data Science - Sharing concepts, ideas, and codes
- Quora
- Data Science - HasBrain
- Kaggle.com - Winning solutions of kaggle competitions
to be continued ...