Courses
This is a collection of online free scientific courses I’ve found.
This is a constant work in progress, as I will update this list every time I engage with something relevant.
English
Information Theory
- Information Theory, Pattern Recognition and Neural Networks - David McKay, Cambridge (also book freely available online, thank you David!).
- Information Theory I & Information Theory II - Jeffrey A. Bilmes, University of Washington.
Reinforcement Learning
- Reinforcement Learning - David Silver, UCL/DeepMind.
- Advanced Deep Learning & Reinforcement Learning - Various, UCL.
- Deep Reinforcement Learning - Various, Berkeley.
Learning Theory
- Statistical Learning Theory and Applications - Tomaso Poggio, MIT.
- Statistical Machine Learning - Ulrike von Luxburg, University of Tübingen.
Machine Learning
- Probabilistic Machine Learning - Philipp Henning, University of Tübingen.
- Advanced Machine Learning - Various, ETH Zürich.
Deep Learning
- Deep Learning - Nando de Freitas, Oxford (check his channel for other courses!).
- Geometric Deep Learning - Michael Bronstein, TUM.
- Deep Learning - Various, UCL/DeepMind.
Physics
- General Relativity - Leonard Susskind, Stanford.
- Statistical Mechanics - Leonard Susskind, Stanford.
- Statistical Mechanics - John Preskill, Caltech.
- Quantum Mechanics - Allan Adams, MIT.
- Quantum Computation - John Preskill, Caltech.
- Nonlinear Dynamics and Chaos - Steven Strogatz, Cornell University.
- Lectures on Geometrical Anatomy of Theoretical Physics - Frederic Schuller, FAUERN.
Italian
- Fisica dei Sistemi Complessi e Teoria dell’Informazione - Università di Firenze.
- Relatività Generale - Random Physics.
- Geometria Differenziale - Università di Padova.
Tutorials & Channels
- 3Blue1Brown - One of the best scientific YouTube channels out there. Both contents and visualization techniques are stunningly good.
- Computerphile and Numberphile - By their definitions: the first one is a channel on videos all about computers and computer stuff and the second one is videos about numbers - it’s that simple.
- Tensorflow tutorials - Hvass Laboratories.
- deeplearning.ai - An YouTube channel run by Andrew Ng.
- M&MoCS - Centro Internazionale di Ricerca per la “Matematica & Meccanica dei Sistemi Complessi”, Università dell’Aquila.
- Institute for Advanced Studies
- Simons Institute for the Theory of Computing