College-courses

Various notes, exercises from my college courses.

AI

This part includes:

• a framework 'search' with the implementation of some search algorithms (e.g. iterative deepening, $A^*$, Breadth first etc...). And the implementation of classic problems like
  • Cannibal and missionaries
  • 8 puzzle
  • block planning (strips like solution)
• a series of projects for adversarial search using Minimax algorithm with alpha beta pruning:
  • connect four
  • tic tac toe
• some notes related to game theory
• the "no goal" exercise
• some exercises done in lisp (e.g. heap sort implementation)

Big data

Exercises related to:

• MPI
• Java streams
• Apache Spark

Machine Learning

The implementation of some ML models like:

• adaboost (with Viola Jones algorithm)
• decision stump
• linear regression
• the perceptron
• SVM