{"product_id":"9789355852571-3","title":"Artificial Intelligence and Machine Learning   for BE Anna University R21CBCS (IV - CSE \/ IT - VI \/ ECE - CS3491)","description":"\u003cp\u003eSyllabus Artificial Intelligence and Machine Learning (CS3491)  UNIT I \tPROBLEM SOLVING  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). (Chapters - 1, 2, 3, 4, 5, 6) UNIT II \tPROBABILISTIC REASONING  Acting under uncertainty - Bayesian inference - naïve bayes models. Probabilistic reasoning - Bayesian networks - exact inference in BN - approximate inference in BN - causal networks. (Chapter - 7) UNIT III \tSUPERVISED LEARNING  Introduction to machine learning - Linear Regression Models : Least squares, single \u0026amp; 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. (Chapter - 8) UNIT IV \tENSEMBLE TECHNIQUES AND UNSUPERVISED LEARNING  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. (Chapter - 9) UNIT V \tNEURAL NETWORKS  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. (Chapter - 10)\u003c\/p\u003e","brand":"Technical Publications","offers":[{"title":"Default Title","offer_id":47380015284395,"sku":"12506918897","price":570.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0620\/3355\/9723\/files\/9789355852571_3_0e5c07dd-95c3-4999-849d-9385f45e4d28.jpg?v=1783768589","url":"https:\/\/technicalpublications.in\/products\/9789355852571-3","provider":"Technical Publications","version":"1.0","type":"link"}