W1_L4: Supervised learning: classification

Описание: Welcome to Week 1 Lecture 4 of the course "Machine Learning Foundations" by Profs. Harish Guruprasad Ramaswamy, Arun Rajkumar, and Prashanth LA.
Full Course: https://study.iitm.ac.in/ds/course_pa...

Video Overview
This lecture introduces the classification learning problem in machine learning. We explore how it differs from regression, define the loss function for classification models, and illustrate the concept with examples, including linear separators. The importance of using test data, distinct from training data, for evaluating model performance is highlighted, along with the role of validation data in model selection. By the end, you’ll gain a clear understanding of supervised learning with classification and how it connects to broader ML tasks.

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