{"product_id":"9789355854728-2","title":"Mathematical Foundation for AI  for GTU 24 Course (SEM-III - BC03001041)","description":"\u003cp\u003eSyllabus   Mathematical Foundation for AI - (BC03001041) Total Credits L+T+ (PR\/2)\tAssessment Pattern and Marks\t Total Marks  C\tTheory\tTutorial \/ Practical\t \tESE (E)\tPA \/ CA (M)\tPA \/ CA (I)\tESE (V)\t 4\t70\t30\t20\t30\t150  Unit No.\tContent 1\tLinear Algebra for AI : Vectors, matrices, operations, eigenvalues, eigenvectors, SVD. (Chapter - 1) 2\tProbability and Statistics : Probability theory, Bayes theorem, distributions, expectation, variance, law of large numbers. (Chapter - 2) 3\tCalculus and Optimization : Limits, derivatives, partial derivatives, gradient descent, convex functions, Lagrange multipliers. (Chapter - 3) 4\tDiscrete Mathematics and Logic : Sets, relations, functions, propositional and predicate logic, inference. (Chapter - 4) 5\tApplications and Case Studies : Mathematical modeling in AI, optimization in neural networks, probabilistic reasoning in ML. (Chapter - 5)\u003c\/p\u003e","brand":"Technical Publications","offers":[{"title":"Default Title","offer_id":46822120226987,"sku":"11948796859","price":865.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0620\/3355\/9723\/files\/9789355854728_2_2f36dd8d-478d-4466-8a7e-17649fb789a7.jpg?v=1778915886","url":"https:\/\/technicalpublications.in\/products\/9789355854728-2","provider":"Technical Publications","version":"1.0","type":"link"}