Code for demonstrating some ideas from the "AI in Complex Systems" course

General references:

• Introduction to Machine Learning with Python: A Guide for Data Scientists, Müller and Guido (Available in the SRM AP library)
• An Introduction to Statistical Learning by by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor. (Excellent free book, a bit more difficult then Müller's)

Reading materials

A list of references (papers, book chapters, videos,…)—please read/watch them. While they may not be essential for exams, they are informative, well-written, and persuasive.

• AI/ML
• complex systems

Code repositories I borrowed from:

Codes are often adapted from the following repositories. Please check these sources and learn from them—they contain more material, and you'll learn how to write code professionally.

• Müller and Guido's GitHub Repo accompanying their book
• GitHub repo for a ML course by Joaquin Vanschoren