B.Tech. Agricultural Engineering · Semester 8 — Electives

Machine Learning

CSE8.33 Computer Science & Engineering

Syllabus lecture plan

1. 01Module 1: Introduction to Machine Learning
2. 02Module 2: Neural Networks
3. 03Module 3: Statistical Learning
4. 04Module 4: Inductive Logic Programming
5. 05Module 5: Computational Learning Theory
6. 06Module 6: Unsupervised Learning
7. 07Module 7: Reinforcement and Explanation-Based Learning
8. 08Module 8: Applications and Advanced Topics

Part of the B.Tech. Agricultural Engineering curriculum (ICAR recommendations). Upload or find notes, previous-year papers and quick-revision reels for each lecture on theciae.