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artificial-intelligence-nanodegree's Introduction

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

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