UNIT-1 Introduction and Concept Learning

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 Unit – I: Introduction and Concept Learning

Introduction

1.     Well-posed learning problems,

2.     Designing 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

 

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