MathΒΆ

Contents:

  • Beautiful Proofs
  • Eigenvalues and Eigenvectors
    • Definition
  • Probability Basics
    • Basic Definitions
    • Probability Function
    • Bayes Theorem
    • Stochastic Independence
    • Distribution Function
    • Random Variable
    • Notable Random Variables
    • Expected Value
    • Variance
    • Covariance
    • Standardization
    • Markov Inequality
    • Chebyshev Inequality
  • The Lagrange dual Funciton
    • Optimization problems
    • The Lagrangian
    • The dual problem
    • Convex optimization problems

I have some really great notes from a course on machine learning, they are in another website for now:

https://san7o.github.io/giovanni-diary/programming/notes/ml/intro-to-machine-learning.html

I also have notes from an Algirithm course and a Physics course, but in Italian:

https://san7o.github.io/giovanni-diary/programming/notes/algoritmi/algoritmi.html https://san7o.github.io/giovanni-diary/programming/notes/fisica/fisica.html

Notes

Navigation

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  • Networking
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  • Math
    • Beautiful Proofs
    • Eigenvalues and Eigenvectors
    • Probability Basics
    • The Lagrange dual Funciton
  • TODO
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