Video lectures (sample above), syllabus and more. Cool stuff, all described here. Here are the first ten: # Introduction to Computer Science: * Programming Methodology — CS106A * Programming Abstractions — CS106B * Programming Paradigms — CS107 # Artificial Intelligence: * Introduction to Robotics — CS223A * Natural Language Processing — CS224N * Machine Learning — CS229 # Linear Systems and Optimization: * The Fourier Transform and its Applications — EE261 * Introduction to Linear Dynamical Systems — EE263 * Convex Optimization I — EE364A * Convex Optimization II — EE364B
Video lectures (sample above), syllabus and more. Cool stuff, all described here. Here are the first ten: # Introduction to Computer Science: * Programming Methodology — CS106A * Programming Abstractions — CS106B * Programming Paradigms — CS107 # Artificial Intelligence: * Introduction to Robotics — CS223A * Natural Language Processing — CS224N * Machine Learning — CS229 # Linear Systems and Optimization: * The Fourier Transform and its Applications — EE261 * Introduction to Linear Dynamical Systems — EE263 * Convex Optimization I — EE364A * Convex Optimization II — EE364B
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Specially check the ones from Mr. Andrew Ng. on artificial intelligence and Machine Learning.
Andrew Ng... does the name ring a bell?