Unit 3: Introduction to ML and Supervised Learning

Unit 3 Overview

Duration: 8 Lecture Hours

Topics

TopicDescription
3.1 Introduction to MLApplications, Types of Learning
3.2 Supervised LearningSVM, VC Dimension, PAC Learning, Regression

Learning Outcomes

  • Identify different types of machine learning problems
  • Apply supervised learning for classification and regression
  • Understand SVM and kernel methods
  • Evaluate model performance and generalization

Back to Course Overview