Skip to content
forked from Quickblink/verML

Verification of Machine Learning Practical Course

Notifications You must be signed in to change notification settings

maxhaslbeck/verML

 
 

Repository files navigation

verML - Verification of Machine Learning Practical Course

This repository collects efforts to formalize results on machine learning following the book "Understanding Machine Learning" by Shalev-Shwartz and Ben-David.

It features the following verifications:

  • Basics:
    • LearningTheory formalizes basic notation from Chapter 2
    • FiniteHypClasses proves that finite Hypothesis classes are PAC
  • VC dimension:
    • VCDim formalizes results from Chapter 6
  • Boosting:
    • Boosting formalizes AdaBoost following Chapter 10
  • Soft SVM:
    • SVM formalizes soft SVM following Chapter 15

About

Verification of Machine Learning Practical Course

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Isabelle 100.0%