| Artificial Intelligence |
Artificial Intelligence: A Modern Approach |
Berkeley's CS188: Introduction to Artificial Intelligence Fall 2018
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Bilibili
Youtube
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Harvard CS50: Introduction to AI with Python
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Bilibili
Youtube
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| Data Science |
Introduction to Data Science:
Data Wrangling and Visualization with R
Statistics and Prediction Algorithms Through Case Studies
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Harvard CS109: Data Science
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Bilibili
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| Computational and Inferential Thinking: The Foundations of Data Science |
UCB Data8: The Foundations of Data Science Spring 2022
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Youtube
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| Learning Data Science |
UCB Data100: Principles and Techniques of Data Science Spring 2024
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Youtube
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| Machine Learning |
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Machine Learning Specialization
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Bilibili
Youtube
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| An Introduction to Statistical Learning with Python |
Stanford Statistical Learning
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Bilibili
Youtube
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| Learning From Data |
Caltech CS156: Machine Learning
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Bilibili
Youtube
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Stanford CS229: Machine Learning
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Bilibili
Youtube
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Deep Learning Foundations and Concepts
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UCB CS189: Introduction to Machine Learning Spring 2024
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Bilibili
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CMU 10-414/714: Deep Learning Systems
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Official
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| Machine Learning Compilation |
Machine Learning Compilation
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Bilibili
Youtube
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| Deep Learning |
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Deep Learning Specialization
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Bilibili
Youtube
1,
2,
3,
4,
5
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CS231N: CNN for Visual Recognition (Spring 2017)
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Bilibili
Youtube
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CS224N: Natural Language Processing (Winter 2023)
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Bilibili
Youtube
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CS224W: Machine Learning with Graphs (Fall 2021)
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Bilibili
Youtube
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| Deep Learning |
UMich EECS 498-007 / 598-005: Deep Learning for Computer Vision (Fall 2019)
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Bilibili
Youtube
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UCB CS285: Deep Reinforcement Learning (Fall 2023)
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Bilibili
Youtube
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| Further Learning |
Pattern Recognition and Machine Learning |
MIT 6.867: Machine Learning
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| All of statistics |
CMU 36-705: Intermediate Statistics
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Youtube
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| Convex Optimization |
EE364A Convex Optimization Ⅰ
EE364B Convex Optimization Ⅱ
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Bilibili
Youtube
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| Probabilistic Machine Learning |
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| The Elements of Statistical Learning |
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CMU 10-708: Probabilistic Graphical Models
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Bilibili
Youtube
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Columbia STAT 8201: Deep Generative Models
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U Toronto STA 4273: Minimizing Expectations
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Stanford CS229M: Machine Learning Theory
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Bilibili
Youtube
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