Udacity's AI Nanodegree coursework.

Algorithm Toolbelt

• Constraint Propagation
• MiniMax + Alpha Beta Pruning
• Breadth First Search, Depth First Search, Djikstra's Algorithm, Uniform Cost Search, A* Search
• Hill Climbing + Random Restart + Taboo Search (don't revisit same places) + Stage Algorithm (predict likely maxima) + Step Size Decrease on Oscillation + Simulated Annealing + Local and Stochastic Beam Searches
• Genetic Algorithms (Selection, Crossover, Mutation, Repeat)
• Backtracking Search + Least Constraining Value + Minimum Remaining Values + Most Constraints + Forward Checking + Arc Consistency + Destructuring into Trees
• Propositional Logic + First Order Logic + Higher Order Logic
• Conformant, Partially Observable, Stochastic, and Classical Planning
• Progressive and Regressive Plan Search
• Situation Calculus
• Bayes Nets and Probabilistic Inference with Enumeration, Variable Elimination, and Sampling + Likelihood Weighting
• Dynamic Time Warping
• Hidden Markov Models + Baum Welch + Stochastic Beam Search + Statistical Grammar + State Tying for training + Segmental Boosts