UNIT-1 Introduction and Concept Learning
Unit – I: Introduction and Concept Learning Introduction 1. Well-posed learning problems, 2. D esigning a learning system 3. Perspectives issues in machine learning, 4. Types of learning. Concept Learning 5. Concept learning task, 6. Concept Learning as search through a hypothesis space, 7. Finding maximally specific hypotheses (FIND-S) 8. Version spaces and the candidate elimination algorithm, 9. Inductive Bias 👉 UNIT-1 (A) Introduction Notes 👉 UNIT-1(B) Concept Learning PPTs 👉 UNIT-1 Introduction and Concept Learning Notes 👉 UNIT-1 Introduction and Concept Learning Long Answer Question