Notes From Google’s Machine Learning Crash Course

I like to revisit Google's Machine Learning Crash Course every now and then to refresh my understanding of key machine learning concepts. It's a fantastic free resource, published under the Creative Commons Attribution 4.0 License, now updated with content on recent developments like large language models and automated ML.

I take notes as a personal reference, and I thought I would post them here to keep track of what I've learned—while hopefully offering something useful to others doing the same.

The notes are organised into four posts, one for each course module:

  1. Google ML Crash Course #1: ML Models
  2. Google ML Crash Course #2: Data
  3. Google ML Crash Course #3: Advanced ML Models
  4. Google ML Crash Course #4: Real-World ML