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UCB CS70: discrete Math and probability theory
UCB CS126: probability theory
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Standford EE364A: Convex Optimization
The Information Theory, Pattern Recognition, and Neural Networks
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Fundamental Programming
MIT-Missing-Semester
Sysadmin DeCal
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Harvard CS50: This is CS50x
Duke University: Introductory C Programming Specialization
C++ Language
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AmirKabir University of Technology AP1400-2: Advanced Programming
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MIT 6.092: Introduction To Programming In Java
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Stanford CS110L: Safety in Systems Programming
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Functional Programming
Functional Programming
Cornell CS3110: OCaml Programming Correct + Efficient + Beautiful
Haskell MOOC
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Fundamental Electronics
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UCB EE120 : Signal and Systems
MIT 6.007 Signals and Systems
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Data Structures and Algorithms
UCB CS61B: Data Structures and Algorithms
Coursera: Algorithms I & II
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Software Engineering
MIT 6.031: Software Construction
UCB CS169: software engineering
CMU 17-803: Empirical Methods
Computer Systems Principles
Computer Systems Principles
CMU 15-213: CSAPP
Stanford CS110: Principles of Computer Systems
Computer Architecture
Computer Architecture
Coursera: Nand2Tetris
UCB CS61C: Great Ideas in Computer Architecture
ETHz: Digital Design and Computer Architecture
ETHz: Computer Architecture
Operating Systems
Operating Systems
MIT 6.S081: Operating System Engineering
UCB CS162: Operating Systems and Systems Programming
NJU OS: Operating System Design and Implementation
HIT OS: Operating System
Distributed Systems
Distributed Systems
CMU 15-418/Stanford CS149: Parallel Computing
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MIT 6.1600: Foundations of Computer Security
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ASU CSE365: Introduction to Cybersecurity
ASU CSE466: Computer Systems Security
SU SEED Labs
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Computer Networking
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
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
CMU 15-799: Special Topics in Database Systems
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Compilers
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
Programming Language Design and Analysis
Programming Language Design and Analysis
Stanford CS242: Programming Languages
NJU Software Analysis
PKU Software Analysis
Cambridge: Semantics of Programming Languages
Computer Graphics
Computer Graphics
GAMES101
GAMES202
GAMES103
Stanford CS148
CMU 15-462
USTC CG
Web Development
Web Development
MIT web development course
Stanford CS142: Web Applications
University of Helsinki: Full Stack open 2022
CS571 Building UI (React & React Native)
Data Science
Data Science
UCB Data100: Principles and Techniques of Data Science
Artificial Intelligence
Artificial Intelligence
Neural Networks: Zero to Hero
Harvard CS50's Introduction to AI with Python
UCB CS188: Introduction to Artificial Intelligence
Machine Learning
Machine Learning
Coursera: Machine Learning
Stanford CS229: Machine Learning
UCB CS189: Introduction to Machine Learning
Machine Learning Systems
Machine Learning Systems
Intelligent Computing Systems
CMU 10-414/714: Deep Learning Systems
MIT6.5940: TinyML and Efficient Deep Learning Computing
Machine Learning Compilation
UCSD CSE234: Data Systems for Machine Learning
Deep Learning
Deep Learning
Coursera: Deep Learning
NTU Machine Learning
CMU 11-785: Introduction to Deep Learning
MIT 6.7960: Deep Learning
NYU DLSP21: NYU Deep Learning Spring 2021
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
Deep Generative Models
Deep Generative Models
Roadmap
MIT 6.S184: Generative AI with Stochastic Differential Equations
Large Language Models
Large Language Models
CMU 11-868: Large Language Model System
CMU 11-667: Large Language Models: Methods and Applications
CMU 11-711: Advanced Natural Language Processing
Advanced Machine Learning
Advanced Machine Learning
Roadmap
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
Postscript
Table of contents
Why Use Scoop
Installing Scoop
Using Scoop
Q&A
Can Scoop Configure Mirror Sources?
Why Can't I Find Java 8?
How Do I Install Python 2?
Hard To Love Walkthrough [extra Quality]
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