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williamium-course-info
https://williamium3000.github.io/williamium-course-info/
williamium-course-info
Foreword
如何使用这本书
Guideline
Productivity Toolkit
Productivity Toolkit
翻墙
Vim
Git
GitHub
GNU Make
CMake
LaTeX
Docker
Scoop
日常学习工作流
实用工具箱
毕业论文
信息检索
Book Recommendation
Fundamental Mathematics
Fundamental Mathematics
MIT18.01/18.02: Calculus
MIT18.06: Linear Algebra
MIT6.050J: Information theory and Entropy
Advanced Mathematics
Advanced Mathematics
UCB CS70: discrete Math and probability theory
UCB CS126: probability theory
MIT 6.042J: Mathematics for Computer Science
MIT18.330: Introduction to numerical analysis
Standford EE364A: Convex Optimization I
The Information Theory, Patter Recognition, and Neural Networks
Standford EE364B: Convex Optimization II
最优化方法 Optimization by 许志钦
Convex Optimization by Ahmad Bazzi on YouTube
Machine Learning 10-725: Convex Optimization
Fundamental Programming
Fundamental Programming
MIT-Missing-Semester
Harvard CS50: This is CS50x
UCB CS61A: Structure and Interpretation of Computer Programs
Duke University: Introductory C Programming Specialization
Stanford CS106B/X
Stanford CS106L: Standard C++ Programming
Stanford CS110L: Safety in Systems Programming
AmirKabir University of Technology AP1400-2: Advanced Programming
Haskell MOOC
Fundamental Electronics
Fundamental Electronics
EE16A&B: Designing Information Devices and Systems I&II
UCB EE120 : Signal and Systems
MIT 6.007 Signals and Systems
Data Structures and Algorithms
Data Structures and Algorithms
UCB CS61B: Data Structures and Algorithms
Coursera: Algorithms I & II
UCB CS170: Efficient Algorithms and Intractable Problems
Software Engineering
Software Engineering
MIT 6.031: Software Construction
UCB CS169: software engineering
Computer Architecture
Computer Architecture
Coursera: Nand2Tetris
Digital Design and Computer Architecture
UCB CS61C: Great Ideas in Computer Architecture
CMU 15-213: CSAPP
Operating Systems
Operating Systems
MIT 6.S081: Operating System Engineering
UCB CS162: Operating System
NJU OS: Operating System Design and Implementation
Distributed Systems
Distributed Systems
CMU 15-418/Stanford CS149: Parallel Computing
MIT 6.824: Distributed System
Computer Security
Computer Security
UCB CS161: Computer Security
MIT 6.858: Computer System Security
ASU CSE365: Introduction to Cybersecurity
ASU CSE466: Computer Systems Security
Computer Networking
Computer Networking
USTC Computer Networking:A Top-Down Approach
Computer Networking: A Top-Down Approach
Stanford CS144: Computer Network
Database Systems
Database Systems
UCB CS186: Introduction to Database System
CMU 15-445: Database Systems
Caltech CS122: Database System Implementation
Stanford CS346: Database System Implementation
Compilers
Compilers
Stanford CS143: Compilers
Computer Graphics
Computer Graphics
GAMES101
GAMES202
GAMES103
Stanford CS148
CMU 15-462
Web Development
Web Development
MIT web development course
Stanford CS142: Web Applications
University of Helsinki: Full Stack open 2022
Data Science
Data Science
UCB Data100: Principles and Techniques of Data Science
Artificial Intelligence
Artificial Intelligence
Harvard CS50's Introduction to AI with Python
UCB CS188: Introduction to Artificial Intelligence
智能计算系统
Machine Learning
Machine Learning
Coursera: Machine Learning
Stanford CS229: Machine Learning
UCB CS189: Introduction to Machine Learning
统计计算与机器学习 by 许志钦
Machine Learning Systems
Machine Learning Systems
Machine Learning Compilation
CMU 10-414/714: Deep Learning Systems
Deep Learning
Deep Learning
Coursera: Deep Learning
国立台湾大学:李宏毅机器学习
Stanford CS231n: CNN for Visual Recognition
Stanford CS224n: Natural Language Processing
Stanford CS224w: Machine Learning with Graphs
UCB CS285: Deep Reinforcement Learning
Stanford CS234: Reinforcement Learning
UCL COMPM050: Reinforcement Learning by David Silver
UMich EECS498: Deep Learning for Computer Vision
强化学习 Reinforcement Learning by 许志钦
Advanced Machine Learning
Advanced Machine Learning
进阶路线图
CMU 10-708: Probabilistic Graphical Models
Columbia STAT 8201: Deep Generative Models
U Toronto STA 4273 Winter 2021: Minimizing Expectations
Stanford STATS214 / CS229M: Machine Learning Theory
Stanford CS228: Probabilistic Graphical Models
Postscript
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Last update:
April 3, 2022
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