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Anna University · Regulation 2021

CS 3491 Artificial Intelligence and Machine Learning question papers

CS3491 Artificial Intelligence and Machine Learning previous year question papers from Anna University (Regulation 2021), with the full syllabus. Read online or download the PDF.

Fourth semester · Core · L T P C: 3 0 2 4

Question papers

Syllabus

  1. Unit 1: Problem Solving9 hours

    Introduction to AI · AI Applications · Problem solving agents · search algorithms · uninformed search strategies · Heuristic search strategies · Local search and optimization problems · adversarial search · constraint satisfaction problems (CSP)

  2. Unit 2: Probabilistic Reasoning9 hours

    Acting under uncertainty · Bayesian inference · naive bayes models · Probabilistic reasoning · Bayesian networks · exact inference in BN · approximate inference in BN · causal networks

  3. Unit 3: Supervised Learning9 hours

    Introduction to machine learning · Linear Regression Models: Least squares · single & multiple variables · Bayesian linear regression · gradient descent · Linear Classification Models: Discriminant function · Probabilistic discriminative model · Logistic regression · Probabilistic generative model · Naive Bayes · Maximum margin classifier · Support vector machine · Decision Tree · Random forests

  4. Unit 4: Ensemble Techniques and Unsupervised Learning9 hours

    Combining multiple learners: Model combination schemes · Voting · Ensemble Learning · bagging · boosting · stacking · Unsupervised learning: K-means · Instance Based Learning: KNN · Gaussian mixture models and Expectation maximization

  5. Unit 5: Neural Networks9 hours

    Perceptron · Multilayer perceptron · activation functions · network training · gradient descent optimization · stochastic gradient descent · error backpropagation · from shallow networks to deep networks · Unit saturation (aka the vanishing gradient problem) · ReLU · hyperparameter tuning · batch normalization · regularization · dropout