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This is my knowledge base.

Math

  • Mathematical Analaysis - foundation of advance topics: real number, limits, continuous function, series...
  • Linear Algebra - tools for manipulating data efficiently.
  • Statistics: tools for analyzing data and making decisions.

Lecture Notes

  • Artificial Intelligence:
    • Searching Algorithms(A star, CSP, Adversarial Search)
    • Markov Decision Process
  • Machine Learning Principles:
    • Estimation
      • Parameter Estimation(MLE, MAP)
      • Non-Parametric Estimation(KDE)
    • Optimization Methods(EM, Lagrange Multiplier)
    • Decisioning
      • Bayesian Decision Theory
  • Computer Graphics:
    • Object Modeling
    • Rendering Pipeline
    • Ray-Tracing
    • Aliasing and Anti-Aliasing
  • Natural Language Processing:
    • Language Modeling
    • Word Embeddings
    • Transformers