Kjablonska / Intoruduction-to-AI

Artificial Intelligence exercises.

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Introduction to Artifical Intelligence course at Warsaw Unviersity of Technology.

Contributors

wmarosek
Kjablonska

Content

The repository contains separate directiories for each task:

  1. ex1 - function minimization using two gradient methods: the Newton method and the Gradient Based method.
  2. ex2 - genetic algorithm
  3. ex3 - simple operations using Perl
  4. ex4 - checkers game with AI using min-max algorithm with alpha beta pruning
  5. ex5 - MCMC algorithm with Gibbs sampling
  6. ex6 - forest classifier & gradient boosting algorithms
  7. ex7 - Stochastic gradient descent

About

Artificial Intelligence exercises.

License:MIT License


Languages

Language:Python 98.5%Language:Prolog 1.5%