Resources

Some useful and fun stuff.

Computer Science

Deep learning

• deeplearning.ai, online courses for artificial intelligence, founded by Andrew Yan-Tak Ng (Chinese: 吳恩達)
• Stanford
  • Stanford Network Analysis Project, collection of resources for machine learning on graphs
  • Open Graph Benchmark Benchmark datasets, data loaders and evaluators for graph machine learning
  • CS224W: Machine Learning with Graphs
• UPenn ESE514 Graph neural networks
• Reinforcement learning, Google Deepmind
• Deep Graph Library
• towards data science

Coding

• Learn to Code for free
  • Programiz Learn to Code for free, Python, C, C++, JAVA, Javascript, Swift
  • Codecademy Learn to Code for free
  • freeCodeCamp
  • Full Stack Python web dev
  • Tensorflow: Official tutorials, Udacity: Intro to TensorFlow for Deep Learning
  • PyTorch: Official tutorials, Udacity: Intro to Deep Learning with PyTorch, PyTorch-Geometric
• Computing
  • Sanjeev Arora and Boaz Barak, “Computational Complexity: A Modern Approach”, Princeton University, 2007
• Visualization
  • threejs, D3.js, matplotlib

Mathematics

• Michel Bierlaire’s lecture on Duality highly recommended
• Mathematics Genealogy Project
• Common Derivatives and Integrals

Signal Processing

• One World Signal Processing Seminar Series, link

MOOC (massive open online course)

• Coursera
• Khan Academy
• Udemy
• Udacity
• Open Yale Courses
• Harvard Online Courses
• MIT Open Courseware, MIT Open Learning