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ai_lab's Introduction

Code of AI Lab of NITR | Course taught by Vijay Bhaskar Semwal

Topics covered so far

  1. Searching Technique
    1. Uniformed Search
      1. BFS
      2. DFS
      3. Iterative Deepning Search
      4. Uniform Cost Search
      5. Hill Climbing
      6. Beam Hill Climbing
    2. Informed Serach
      1. Best First Search
      2. A* Search
      3. Tabu Search
      4. Simulated Annealing
      5. Genetic Algorithm
      6. Water Jug Problem using Search Method
  2. Neural Networks
    1. Use of Perceptron in AND, OR Classification
    2. Use of MLP to classify XOR Gate
    3. Use of MLP to do classification in Iris Dataset
  3. Probability
    1. Conditional, Marginal Probability
    2. Bayes Formulae
    3. Bayesian Net
  4. Markov and Hidden Markov Model
  5. SVM
    1. Hard Margin Classifier
    2. Soft Margin Classifier

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