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Optimization in Machine Learning (Spring 2021)
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https://www.youtube.com/playlist?list=PLGod0_zT9w92_evaYrf3-rE67AmgPJoUU 课件:https://github.com/rishabhk108/AdvancedOptML
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Machine Learning Theory (Spring 2021)
Statistical Learning Theory (Spring 2021)
Bayesian Machine Learning and Information Processing (Fall 2020)
Optimization Algorithms (Spring 2020)
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Foundations of Reinforcement Learning (Fall 2021)
Advanced Algorithms (Fall 2021)
Data Structures and Algorithms (Spring 2021)
Mathematical Engineering of Deep Learning (Spring 2021)
Statics and Mechanics of Materials (Spring 2020)
Bandit Algorithms and Online Learning (Fall 2021)
Stochastic Processes (Spring 2021)
Mathematics of Machine Learning (Spring 2021)(部分)
Algorithms for Data Science (Spring 2021)
Electromagnetic Field Theory (Spring 2021)
Integer Optimization (Spring 2019)
Compiler Construction (Spring 2021)
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Introduction to Machine Learning (Fall 2020)
Combinatorics (Spring 2021)
Computational Learning Theory (Fall 2021)
Introduction to Cognitive Science (Spring 2021)
Mathematical Statistics (Spring 2021)
Matrix Calculus For Machine Learning And Beyond (IAP 2023)
Computational Geometry (Spring 2021)
Introduction to Statistics (Spring 2017)
Lie Groups and Lie Algebras 2 (Spring 2020)
Automated Reasoning and Model Checking (Spring 2021)
Algorithmic Game Theory (Fall 2021)
Abstract Linear Algebra (Spring 2021)
Elementary Differential Equations (Summer 2021) (更新中)
Mathematics for Data Science 1 (Spring 2021)
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Intro to Topology (Spring 2021)
Algorithms in Machine Learning (Fall 2020)
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Optimization Methods (Winter 2021)
Statistical Reinforcement Learning (Fall 2021)
Mathematical Aspects of Quantum Mechanics (Winter 2021)
Combinatorial Algorithms (Spring 2021)