Machine Learning for Engineering & Science Applications | IIT Madras - #40 Multinomial Classification | Introduction

Welcome to 'Machine Learning for Engineering & Science Applications' course ! This lecture introduces the concept of multinomial classification, extending logistic regression to handle problems with more than two classes. It explains the need for different representation techniques for output classes, such as One-hot encoding and the Softmax function. The lecture sets the stage for exploring multinomial classification algorithms and their applications. NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications. To understand various certification options for this course, please visit https://nptel.ac.in/courses/106106198 #MultinomialClassification #LogisticRegression #MulticlassProblems #OneHotVector #Softmax