京东 11.11 红包
Matrix Calculus For Machine Learning And Beyond (IAP 2023)
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Probability and Info Theory in Machine Learning (Fall 2020)
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Machine Learning Theory (Spring 2021)
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Bayesian Machine Learning and Information Processing (Fall 2020)
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Course on the Statistical Learning Theory (Fall 2020)
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Computer Systems Engineering (Spring 2023)
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Memory Device Technologies and Applications (Fall 2021)
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Introduction To Metric Spaces (IAP 2023)
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Mathematical Engineering of Deep Learning (Spring 2021)
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Measure Theory (Fall 2020)
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Unsupervised Learning (Spring 2024)
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Statistical Reinforcement Learning (Fall 2021)
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Advanced Machine Learning with Neural Networks (Spring 2021)
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Thermodynamics (Fall 2020)
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Differential Forms (Fall 2020)
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Machine Learning (Fall 2019)
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Introduction to Operating Systems (Summer 2020)
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Introduction to Analysis 2 (Winter 2021)
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Mathematics, Physics and Machine Learning Seminar
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Probabilistic Methods in Discrete Mathematics (Winter 2021)
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Differential Galois Theory (Summer 2020)
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Advanced Algorithms (Fall 2021)
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General Field Theory (Fall 2020)
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Metric Differential Geometry (Spring 2022)
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History of Industrial Design (Fall 2020)
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Algebra 2
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Introduction to Algebraic Geometry and Commutative Algebra
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Algorithms (Winter 2020)
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Integer Optimization (Spring 2019)
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Network Optimization (Fall 2018)
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Bandit Algorithms and Online Learning (Fall 2021)
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Topics in Analysis: Descriptive Set Theory (Fall 2022)
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Introduction to Graph Theory (Fall 2020)
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Algorithms in Machine Learning (Fall 2020)
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Model Theory (Spring 2021)
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Classical Mechanics (Fall 2020)
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Graduate Data Structures (Spring 2021)
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Mathematical Logic (Fall 2020)
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HPC Tools and Applications (Spring 2024)
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Art History (Fall 2020)
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COS 302: Mathematics for Numerical Computing and Machine Learning (Spring 2021)