Machine Learning UNIT - 1 SYLLABUS

UNIT - I 

 Introduction

 1. Well-Posed Learning Problems

 2. Designing a Learning System 

 3. Perspectives and Issues in Machine Learning 

 4. Introduction to Supervised, Unsupervised and Reinforcement Learning.


 Concept Learning and the General to Specific Ordering 

 5. Introduction

 6. A Concept Learning Task 

 7. Concept Learning as Search 

 8. Find-S: Finding a Maximally Specific Hypothesis 

 9. Version Spaces and the Candidate Elimination Algorithm.

Comments

Popular posts from this blog

Machine Learning 1: UNIT 3 : Support Vector Machines MCQs

Machine Learning MCQs-2 (Performance Metrics, Linear Regression, Naïve Bayes Classifier )

VERSION SPACES AND THE CANDIDATE-ELIMINATION ALGORITHM