A collection of resources that I find useful or interesting.

Machine Learning

• MacKays Information Theory, Inference and Learning Algorithms textbook and his lectures
• Mohris Foundations of Machine Learning textbook and his courses
• Bishops Pattern Recognition and Machine Learning textbook and Implementations in Python
• Murphy’s Machine Learning: a Probabilistic Perspective textbook
• Shalev-Shwartz and Ben-David’s Understanding Machine Learning: From Theory to Algorithms textbook and lectures
• Kappen’s Advanced machine learning course (Radboud)
• Buhmann’s Advanced machine learning course (ETH)
• Hennig’s Probabilistic Machine Learning course (Tübingen)

Information Theory

• Cover and Thomas Elements Of Information Theory textbook
• MacKays Information Theory, Inference and Learning Algorithms textbook and his lectures
• Grünwalds Minimum Description Length Principle textbook and his Information-Theoretic Learning course (Leiden)
• Walters Introduction to Information Theory course (Ruhr prev. Amsterdam)
• Bamlers Neural compression course (Tübingen)

Reinforcement Learning and Control

• Sutton and Barto’s Reinforcement Learning: An Introduction textbook
• Levines’s Deep Reinforcement Learning course (UC Berkeley)
• Deepmind’s Introduction to reinforcement learning lectures
• Deepmind’s Advanced Deep Learning & Reinforcement Learning lectures
• Bertsekas Reinforcement Learning and Optimal Control textbook and his lectures

Complex systems

• Strogatz Nonlinear Dynamics and Chaos textbook and his lectures
• Thurner’s Introduction to the Theory of Complex Systems textbook
• Sayama’s Introduction to the modelling and analysis of Complex Systems textbook

Computational Neuroscience and Neurophysics

• Miller’s An Introductory Course in Computational Neuroscience textbook
• Izhikevich’s Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting textbook
• Gestner’s Neuronal Dynamics: From single neurons to networks and models of cognition textbook, lectures and courses[A/B]
• Dayan and Abbott’s Theoretical neuroscience textbook and exercises
• Stone’s Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency textbook
• Cover and Thomas Elements of Information Theory textbook
• EPFL Blue Brain’s Massive Open Online courses