ES 335 / ES 678
Machine Learning
Prof. Udit Bhatia; Tutor: Prof. Krishna Prasad MiyapuramOverview
Course Overview
This course develops machine learning from first principles while keeping modern practice in view. We study data, loss, risk, optimization, generalization, evaluation, classical models, neural networks, modern ML systems, and the real-world nuisances that make models fail.
| Item | Description |
|---|---|
| Course code | ES 335 / ES 678 |
| Course title | Machine Learning |
| Lectures | J1 Tuesday 14:00-15:20 and K2 Thursday 14:00-15:20, room 10/103 |
| Tutorial | B2 Friday 08:30-09:50, Jagdish Patel Learning Theatre / Harsha Patel Learning Theatre |
| Primary mode | Lectures, tutorials, mathematical derivations, assignments, quizzes, exams, and project work |
| Core theme | Data, features, labels, models, loss, risk, generalization, evaluation, and accountable deployment |