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Data Systems for Machine Learning (Fall 2020)
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CSE 291D by Arun Kumar at UCSD https://www.youtube.com/playlist?list=PLXq1U9RxZE5qjvs2Fa11Chqj8RZ-rTXMn 课程主页:https://cseweb.ucsd.edu//classes/fa20/cse291-d/index.html
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Bayesian Machine Learning and Information Processing (Fall 2020)
Algorithms in Machine Learning (Fall 2020)
Geometry of Data (Fall 2023)
Matrix Calculus For Machine Learning And Beyond (IAP 2023)
Mathematics for Data Science 2 (Fall 2020)
Data Science and Machine Learning (Spring 2021)
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Introduction to Graph Theory (Fall 2020)
Operating Systems (Fall 2021)
Introduction to Machine Learning (Fall 2020)
Intro to Data Structures and Algorithms (Fall 2020)
Adaptive Control and Reinforcement Learning (Fall 2020)
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Simulating Stochastic Systems (Fall 2020)
Software Design (Fall 2020)
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Foundations of Reinforcement Learning (Fall 2021)
Multivariate Statistics and Machine Learning (Fall 2020)
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Numerical Methods (Fall 2020)
Graph Theory (Fall 2020)
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Matrix Theory (Fall 2020)
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Nonlinear Optimization (Fall 2020)
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Classical Mechanics (Fall 2020)
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History of Industrial Design (Fall 2020)
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Fundamental Mathematics (Fall 2020)
Advanced Data Structures (Fall 2021)
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