So back in 2021 I had a discussion with a friend of mine who - at that time - was studying computer science at the HAW (Hochschule für Angewandte Wissenschaften). Our discussion was basically about what topics one should study, in order to get a broader understanding of the fundamentals of AI.

This is the list he came up with:

• Linear Algebra
• Stochastic
• Neural Networks
• Clustering
• Monte Carlo Tree Search
• Graph Theory
• Trees
• Recursion