Concept Learning is an interesting start of the machine learning universe. According to Tom Mitchell, Inductive learning is one of the most basic and classical machine learning methods. Concept learning, at the same time, is one kind of inductive learning, which considers all the hypothese spaces for a task and uses data to find the consistent function.
- [Machine Learning by Tom Mitchell] - Chapter 2: Concept Learning
- 10601[CMU]
- Course Notes
- General-To-Specific.py
- Candidate-Elimination.py