External Materials of Interest

• Fastai lectures: Lecture 6 about decision trees and random forests
• explained.ai
  • Statistics vs ML terms: https://explained.ai/statspeak/index.html
  • Gradient boosting: https://explained.ai/gradient-boosting/
• Bagging vs Boosting on Kaggle https://www.kaggle.com/code/prashant111/bagging-vs-boosting/notebook
• Craiyon: https://www.craiyon.com/
• Essay by Leo Breiman (you might know him for the Bagging meta-learning technique): Statistical Modelling: The Two Cultures
• Introducing neural network:

  youtube: https://youtu.be/aircAruvnKk

• Gradient descent:

  youtube: https://youtu.be/IHZwWFHWa-w

• Backpropagation to effectively calculate gradient:

  youtube: https://youtu.be/Ilg3gGewQ5U

• Details about backpropagation:

  youtube: https://youtu.be/tIeHLnjs5U8