Learning Notes
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  • Guide
    • Shortkeys
    • Commands
  • Cpp
    • Basic
    • Scope, Duration, and Linkage
    • Pointers(1)
    • Pointers(2)
  • Rust Learning
    • 1.Number Types
    • 2.Ownership
    • 3.Struct
    • 4.Enum
    • 5.Package-management
    • 6.Vector
    • 7.Error handle
    • 8.Trait 泛型
    • 9.Life time
    • 10.Test
    • 11.Minigrep
    • 12.Closure 闭包
    • 13.Smart pointer 智能指针
    • 14.Fearless concurrency 无畏并发
  • Quantum Computing
    • Basic computing and quantum computing Theory
    • Teleportation
    • QKD and QFT
    • QFE and Shor's algorithm
    • QAOA
    • Quantum algorithms
    • Week 11
  • Statical Machine Learning
    • Bayesian Linear Regression
    • Linear regression and logistic regresion
    • Bais
    • SVM, Kernel Methods
    • Precepction and Artificial Neural Network
    • Cross validation, experts learning, MAB
    • Bayesian inference
    • GMM-EM
    • final
  • Software Project Management
    • Lecture
    • Revision
  • AI-planning
    • Classical planning
    • MDP and reinforcement learning
    • Game theory and final recap

Statical Machine Learning

Linear regression, Logistic regression, MLE

Bias, Empirical Risk and True Risk, VC dimension

SVM, Kernel Methods

Perception, Neural network, CNN, RNN, Transformer

Cross validation, experts learning, MAB

Multi Arm Bandit

Bayesian Regression

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Contributors: pingzhihe
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