Learn about multi-class classification using discriminant analysis in this 14-minute video lecture. Explore the process of data collection, handling new data points, and working with subsets and distributions. Understand the base theorem and various techniques employed in discriminant analysis. Discover how to determine decision boundaries, with a focus on linear approaches. Gain a comprehensive overview of this classification method, from introduction to summary, to enhance your understanding of machine learning concepts.
Multi-Class Classification with Discriminant Analysis
Overview
Syllabus
Introduction
Data Collection
New Data Point
Subsets
Distributions
Base Theorem
Techniques
Decision Boundary
Linear
Summary
Taught by
NPTEL-NOC IITM
