Mathematics for Intelligent Systems - 6 (January - June, 2024)
Mathematics for Intelligent Systems - 6 (January - June, 2024)
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The course, abbreviated as MIS-6, is intended for the 6th-semester undergraduate students pursuing B. Tech in Computer Science (Artificial Intelligence) Engineering. All the resource materials, along with the course details, are given here. The contents are taken from multiple resources and are prepared for circulation among the students only.
Class1_SVM.mp4Support Vector Machine (SVM) - 1
Class2_SVM.mp4SVM - 2
Class3_EM_SVM.mp4SVM-3 and Expectation Maximization (EM) - 1
Class4_GMM_EM.mp4EM - 2 and Gaussian Mixture Model
Part0_CourseIntroduction.pdfPart0_Course Introduction
Part1_RegressionAndModelSelection.pdfPart1_Regression_And_Model_Selection
Part2_NeuralNetworkS_SGDvsGD_BackProp.pdfPart2_Neural Networks and Deep Learning
Part3_DNN_Hyperparameters.pdfPart3_Deep Neural Networks: Challenges and Hyperparameters
Part4_CNNs.pdfPart4_CNNs
Part5_Kernels_SVM.pdfPart5_SVMandKernelFunctions
Part6_EM.pdfPart6_Expectation Maximization
Part7_VIandVL.pdfPart7_Variational_Inference
Part8_BayesianModeling.pdfPart8_BayesianModeling
Part9_ControlSystems.pdfPart9_ControlSystems-I
Part10_RobustControlandMore.pdfPart10_ControlSystems-II
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