AI1 and Machine Learning algorithm concepts from junior and senior year
- AI Problem solving
- Search Algorithms (Graph search,Dijkstra's,Bellman Ford)
- Search Applications (Heuristic functions, unformed vs Informed)
- Optimization Search (Least squares, weber point)
- Machine learning (loss functions, optimization methods: hill climbing, simulated annealing) Midterm questions
- Inductive learning
- KNN
- Decision Trees
- Bayesian Networks (naive and joint)
- Support Vector Machines
- Neural Networks
- Convolutional Neural Networks