hamzakat / ml-notes

Study notes on Machine Learning

Machine Learning Notes

Here are some notes I took while studying machine learning for my Master's.

Resources

The following is the materials I'm studying:

• Stanford CS229: Machine Learning - Spring 2022
  • Course Home Page
  • Lectures
• Géron, A. (2023). Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow: Concepts, tools, and techniques to build intelligent systems (Third edition). O’Reilly.
• Prince, S. (2024). Understanding Deep Learning.
  • Book
  • Notebooks (I'm adding what I've solved)
• Neural Networks: Zero to Hero by Andrej Karpathy. https://karpathy.ai/zero-to-hero.html
• Zero to Mastery Learn PyTorch for Deep Learning by Daniel Bourke. https://www.learnpytorch.io/
• Winder, P. (2021). Reinforcement learning: Industrial applications of intelligent agents (First edition). O’Reilly Media.
  • https://rl-book.com/supplementary_materials/