Math

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