Syllabus
Introduction to AI
Supervised Learning-1
Supervised Learning-2
Deep Neural Networks
Convolutional Neural Networks
Scene Understanding
Transfer Learning
Probabilistic Reasoning
Logical Reasoning
Planning without Interactions
Markov Decision Processes
Reinforcement Learning
Sequences and RNNs
Natural Language Processing
Math Background
Resources
CS-GY-6613 / CS370 Common Assignments
CS-GY-6613-INET-Assignments
Undergraduate Project
Graduate Projects
A number of examples where we apply Dynamic Programming to solve the MDP.
