Available courses
Pattern Recognition & Applications
Semester 4, Monsoon-2026
Batch: Winter-2025
This course introduces fundamental techniques for identifying and classifying patterns in data. It covers feature extraction, classification, clustering, statistical pattern recognition, and practical applications in areas such as image processing, computer vision, and machine learning.
Reinforcement Learning
Semester 4, Monsoon-2026
Batch: Winter-2025
Reinforcement Learning
This course introduces the fundamental concepts of Reinforcement Learning, focusing on how intelligent agents learn optimal decisions through interaction with their environment. It covers key topics such as Markov Decision Processes, value functions, policy learning, dynamic programming, Monte Carlo methods, temporal-difference learning, and Q-learning, along with practical applications of reinforcement learning.