References
This section will be extended throughout the course. If you have good materials you want to share, please post them into our chat, and I will integrate them here.
Core Topic
Google: Machine Learning Crash Course with TensorFlow APIs (~14h, interactive online course)
FreeCodeCamp, Kylie Ying: Machine Learning for Everybody (~4h video)
Sarah Ciston: A Critical Field Guide for Working with Machine Learning Datasets
Janelle Shane (2020): You look like a thing and I love you (book available @ lib)
Hannah Fry (2019): Hello world : how to be human in the age of the machine (book available @ lib)
Pit Noack & Sophia Sanner (2023): Künstliche Intelligenz verstehen: eine spielerische Einführung in die KI (book available @ lib, also as e-book)
Freely-accessible website accompanying the book with the interactive code examples: https://www.maschinennah.de/ki-buch/
Python Basics
w3schools: Python Tutorial (Tutorial, well suited for beginners)
FreeCodeCamp: Scientific Computing with Python (Full and extensive interactive online course)
Al Sweigart: Automate the Boring Stuff with Python (A whole book on Python basics and what you can do with it to make your digital life easier - also freely accessible as a web page)
Official Python Documentation
For an overview: Python 3.11.1 documentation
As a first entry point: The Python Tutorial
As a reference:
Tools
Thonny - Python IDE for beginners
PyCharm - more advanced IDE for developers
Jupyter notebooks & more - web docs with interactive Python snippets (usable on your own device as a pip module, or on the jupyter.org site - Google’s Colab is also just a version of Jupyter notebooks)
Extended Materials
Extended materials on topics beyond what we will be doing in the course:
FreeCodeCamp: Machine Learning with Python (Full and extensive interactive online course - would fit into our core course topic, but vastly exceeds it workload wise)
Youtube, Computerphile: How AI Image Generators Work (Stable Diffusion / Dall-E) (~18min Video)
Youtube, Computerphile: Stable Diffusion in Code (AI Image Generation) (~17min Video)