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京东 11.11 红包
Data Science and Machine Learning (Spring 2021)
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by ICTP Postgraduate Diploma Programme https://www.youtube.com/playlist?list=PLp0hSY2uBeP9-yq-VhlAugYm1hvo9wSND
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Statistical Learning Theory (Spring 2021)
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COS 302: Mathematics for Numerical Computing and Machine Learning (Spring 2021)
Unsupervised Learning (Spring 2024)
Graduate Data Structures (Spring 2021)
Algebraic Combinatorics (Spring 2021)
Statistical Learning in Practice (Spring 2021)
Data Science and Engineering (Spring 2021)
Mathematics for Data Science 1 (Spring 2021)
Mathematical Tools for Data Science (Spring 2021)
Introduction to Cognitive Science (Spring 2021)
Statistical Modeling (Spring 2021)
Algebra (Spring 2021)
Bandit Algorithms and Online Learning (Fall 2021)
Intro to Topology (Spring 2021)
History of Analytic Philosophy (Spring 2021)
Electromagnetic Field Theory (Spring 2021)
Computational Sensorimotor Learning (Spring 2021)
Mathematics of Data Science (Spring 2020)
Introduction to Logic for Computer Science (Spring 2020)
AI and Graphics (Spring 2021)
Advanced Topics in the Theory of Machine Learning (Spring 2021)
Optimization in Machine Learning
Data Structures and Algorithms (Spring 2021)
Probability and Info Theory in Machine Learning (Fall 2020)
Matrix Calculus For Machine Learning And Beyond (IAP 2023)
Random Variables and Stochastic Processes (Spring 2021)
Mathematical Data Science (Summer 2020)
Machine Learning (Fall 2019)
Algorithms for Data Science (Spring 2021)
Probabilistic Number Theory (Spring 2021)
Theory and Practice of Finite Element Methods (Spring 2021)
Functional Analysis (Spring 2021)
Statistical Signal Processing (Spring 2021)
Computational Learning Theory (Fall 2021)
Advanced Field Theory (Spring 2021)
Enumerative Combinatorics (Spring 2021)
Automated Reasoning and Model Checking (Spring 2021)
Combinatorics (Spring 2021)
Compiler Construction (Spring 2021)