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cs-self-learning
CS自学指南
cs-self-learning
前言
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信息检索
好书推荐
数学基础
数学基础
MIT18.01/18.02: Calculus
MIT18.06: Linear Algebra
MIT6.050J: Information theory and Entropy
数学进阶
数学进阶
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
The Information Theory, Pattern Recognition, and Neural Networks
编程入门
编程入门
MIT-Missing-Semester
Sysadmin DeCal
Python 语言
Python 语言
UCB CS61A: Structure and Interpretation of Computer Programs
CS50P: CS50's Introduction to Programming with Python
MIT6.100L: Introduction to CS and Programming using Python
C 语言
C 语言
Harvard CS50: This is CS50x
Duke University: Introductory C Programming Specialization
C++ 语言
C++ 语言
AmirKabir University of Technology AP1400-2: Advanced Programming
Stanford CS106L: Standard C++ Programming
Stanford CS106B/X
Java 语言
Java 语言
MIT 6.092: Introduction To Programming In Java
Rust 语言
Rust 语言
Stanford CS110L: Safety in Systems Programming
KAIST CS220: Programming Principles
KAIST CS431: Concurrent Programming
函数式语言
函数式语言
Cornell CS3110: OCaml Programming Correct + Efficient + Beautiful
Haskell MOOC
电子基础
电子基础
EE16A&B: Designing Information Devices and Systems I&II
UCB EE120 : Signal and Systems
MIT 6.007 Signals and Systems
数据结构与算法
数据结构与算法
UCB CS61B: Data Structures and Algorithms
Coursera: Algorithms I & II
MIT 6.006: Introduction to Algorithms
MIT 6.046: Design and Analysis of Algorithms
UCB CS170: Efficient Algorithms and Intractable Problems
软件工程
软件工程
MIT 6.031: Software Construction
UCB CS169: software engineering
CMU 17-803: Empirical Methods
计算机系统基础
计算机系统基础
CMU 15-213: CSAPP
Stanford CS110: Principles of Computer Systems
体系结构
体系结构
Coursera: Nand2Tetris
UCB CS61C: Great Ideas in Computer Architecture
ETHz: Digital Design and Computer Architecture
ETHz: Computer Architecture
操作系统
操作系统
MIT 6.S081: Operating System Engineering
UCB CS162: Operating System
NJU OS: Operating System Design and Implementation
HIT OS: Operating System
并行与分布式系统
并行与分布式系统
CMU 15-418/Stanford CS149: Parallel Computing
MIT 6.824: Distributed System
计算机系统安全
计算机系统安全
UCB CS161: Computer Security
MIT 6.1600: Foundations of Computer Security
MIT 6.858: Computer System Security
ASU CSE365: Introduction to Cybersecurity
ASU CSE466: Computer Systems Security
SU SEED Labs
计算机网络
计算机网络
UCB CS168: Introduction to the Internet: Architecture and Protocols
Stanford CS144: Computer Network
USTC Computer Networking:A Top-Down Approach
Computer Networking: A Top-Down Approach
数据库系统
数据库系统
UCB CS186: Introduction to Database System
CMU 15-445: Database Systems
Caltech CS122: Database System Implementation
Stanford CS346: Database System Implementation
CMU 15-799: Special Topics in Database Systems
编译原理
编译原理
PKU 编译原理实践
Stanford CS143: Compilers
NJU 编译原理
KAIST CS420: Compiler Design
USTC 编译原理与技术
SJTU 编译原理
编程语言设计与分析
编程语言设计与分析
Stanford CS242: Programming Languages
NJU 软件分析
PKU 软件分析
Cambridge: Semantics of Programming Languages
计算机图形学
计算机图形学
GAMES101
GAMES202
GAMES103
Stanford CS148
CMU 15-462
USTC CG
Web开发
Web开发
MIT web development course
Stanford CS142: Web Applications
University of Helsinki: Full Stack open 2022
CS571 Building UI (React & React Native)
数据科学
数据科学
UCB Data100: Principles and Techniques of Data Science
人工智能
人工智能
Neural Networks: Zero to Hero
Harvard CS50's Introduction to AI with Python
UCB CS188: Introduction to Artificial Intelligence
机器学习
机器学习
Coursera: Machine Learning
Stanford CS229: Machine Learning
UCB CS189: Introduction to Machine Learning
机器学习系统
机器学习系统
智能计算系统
CMU 10-414/714: Deep Learning Systems
MIT6.5940: TinyML and Efficient Deep Learning Computing
Machine Learning Compilation
深度学习
深度学习
Coursera: Deep Learning
国立台湾大学: 李宏毅机器学习
UMich EECS 498-007 / 598-005: Deep Learning for Computer Vision
Stanford CS231n: CNN for Visual Recognition
Stanford CS224n: Natural Language Processing
Stanford CS224w: Machine Learning with Graphs
UCB CS285: Deep Reinforcement Learning
深度生成模型
深度生成模型
学习路线图
MIT 6.S184: Generative AI with Stochastic Differential Equations
大语言模型
大语言模型
CMU 11-868: Large Language Model System
CMU 11-667: Large Language Models: Methods and Applications
CMU 11-711: Advanced Natural Language Processing
机器学习进阶
机器学习进阶
学习路线图
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
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