Home
Reading 03: Knowledge Representation, Feature Engineering, and Decision Trees
Knowledge Representation and Feature Engineering:
Logical-Based Artificial Intelligence and Expert Systems (blogpost)
¶
Additional Resources:
Harvard CS50 (Video)
Stanford CS221 (Video)
Foundations of Computational Agents - Chapters 5, 15, and 16 (Reading)
Designing an Artificial Intelligence Agent to Navigate a World (blogpost)
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)
Reading Quiz 03
¶
Loading…