Everyone:

Materials¶

Knowledge Representation and Feature Engineering: Foundations of Computational Agents - Chapters 5, 15, and 16 (Reading)¶

Additional Resources:

• Harvard CS50 (Video)
• Stanford CS221 (Video)

Decision Trees: Decision Trees (MLU) (Blog Post)¶

Additional Resources:

• Foundations of Computational Agents - Sections 7.2 and 7.3.1 (Reading)
• Probabilistic Machine Learning - Chapter 18 (Reading)
• Introduction to Statistical Learning - Chapter 8 (Reading)
• Understanding Machine Learning - Chapter 18 (Reading)
• MIT 6.034 (Video)
• Cornell CS4780 (Video)
• Playing Tennis Decision Tree (Notebook)
• Entropy (StatQuest) (Video)
• Decision Trees (StatQuest) (Video)
• Regression Trees (StatQuest) (Video)
• Information Theory (3b1b) (Video)
• Decision Trees (r2d3) (Blog Post)
• IG and Entropy (Zhou) (Blog Post)
• Information Theory (Olah) (Blog Post)
• (1966) Experiments in Induction (Hunt et al.) (Paper)
• (1986) Induction of Decision Trees (Quinlan) (Paper)
• (1984) Classification and Regression Trees (Brieman et al.) (Paper)