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An index of online courses with recorded videos for learning various topics, including machine learning, algorithms, mathematics, etc. Please help contribute.

Table of Contents

Machine Learning

Name Instructor Institute Video
CS4780/CS5780: Machine Learning for Intelligent Systems Kilian Weinberger Cornell Youtube
Machine Learning, 2020 Hung-yi Lee NTU Youtube
Reinforcement Learning David Silver UCL Youtube
Probabilistic Graphical Models Eric Xing CMU Youtube
Information Theory, Pattern Recognition, and Neural Networks David Mackay University of Cambridge videolectures

Deep Learning

Name Instructor Institute Video
DS-GA 1008 Deep Learning Yann LeCun NYU Youtube
Practical Deep Learning for Coders Jeremy Howard fast.ai Videos
11-785 Introduction to Deep Learning Bhiksha Raj CMU Youtube
CS224n: Natural Language Processing with Deep Learning Chris Manning Stanford Youtube
CS294-158-SP20 Deep Unsupervised Learning Pieter Abbeel Berkeley Youtube
ESE 680 Graph Neural Networks Alejandro Ribeiro U Penn Youtube

Data Structure and Algorithm

Name Instructor Institute Video
CS 61B Data Structures Josh Hug Berkeley Youtube

System

Name Instructor Institute Video
MIT 6.824: Distributed Systems Robert Morris MIT Youtube

Mathematics

Name Instructor Institute Video
Mathematics 4: Real Analysis Ole Christensen DTU Youtube
Mathematical Methods for Robotics, Vision, and Graphics Justin Solomon Stanford Youtube
MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning Gilbert Strang MIT Youtube
MIT 18.06 Linear Algebra Gilbert Strang MIT Youtube
Convex Optimization Ryan Tibshirani CMU Youtube
MIT 6.262 Discrete Stochastic Process Robert Gallager MIT Youtube
[MIT 6.041 Probabilistic Systems Analysis and Applied Probability] John Tsitsiklis MIT Youtube
MIT 18.650 Statistics for Applications Philippe Rigollet MIT Youtube

Productivity

Name Instructor Institute Video
The missing semester varies MIT Youtube

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