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EE698L: Artificial Intelligence, Machine Learning, Deep Learning, & Its Applications (2020-21 Sem II)


Course Contents

Artificial Intelligence (AI): Introduction, History, and Evolution
Agents of Artificial Intelligence
Introduction to Fuzzy System (FS), Artificial Neural Network (ANN), Evolutionary Computing (EC), Genetic Algorithm (GA), Simulated Annealing (SA), Particle Swarm Algorithm (PSO), etc.
Machine Learning: Unsupervised Learning, Supervised Learning, Semi supervised Learning, Reinforcement Learning
Clustering and Biclustering: K-means, Fuzzy c-means (FCM), Self-organizing maps (SOM), and other Clustering Algorithms
Classification: Support Vector Machines (SVM), K Nearest Neighbour (KNN), ANN, Fuzzy Rule Based, and other Classifiers
Curve fitting, Regression models, Prediction/Forecasting: ANN and Fuzzy Rule Based Regression Models
Performance Measures for Clustering, Biclustering, Classification, and Regression Algorithms
Deep Learning and Transfer Learning: Deep Neural Networks (DNN), Fuzzy Neural Networks (FNN), etc.
Case studies in the areas of signal processing, computer vision, intelligent control, transportation, prognosis and health management, bioinformatics, etc.

Course Instructor:
Nishchal K. Verma (nishchal@iitk.ac.in)

Course Handout: Click here

Course TAs:
Mayank Pandey (pandeym@iitk.ac.in)
Mohd. Aquib (aquib@iitk.ac.in)

Lecture Schedule:
Wednesday, Thursday, Friday (11:00 AM to 12:00 PM)

Lecture(s)
Lecture 1 - Click here
Lecture 2 - Click here
Lecture 3 - Click here
Lecture 4 - Click here
Lecture 5 - Click here
Lecture 6 - Click here
Lecture 7 - Click here
Lecture 8 - Click here
Lecture 9 - Click here
Lecture 10 - Click here
Lecture 11 - Click here
Lecture 12 - Click here
Lecture 13 - Click here
Lecture 14 - Click here
Lecture 15 - Click here
Lecture 16 - Click here
Lecture 17 - Click here
Lecture 18 - Click here
Lecture 19 - Click here
Lecture 20 - Click here
Lecture 21 - Click here

Assignments

Assignment Submission Link - Submit Your Solution
Assignment 1 - Click here
Assignment 2 - Click here
Assignment 3 - Click here
Deadline for Submission of Assignments 1, 2, and 3 is January 26th, 2021 (Submission Closed)
Assignment 4 - Submission Deadline is February 2nd, 2021 11:59 PM IST (Submission Closed)

Reading Material

MTBA: A MATLAB Toolbox for Biclustering Analysis
BIDEAL: A Toolbox for Bicluster Analysis - Generation, Visualization and Validation
Self Optimal Clustering (SOC)

Course Project

Deadline - March 26th, 2021
Submission Intstructions - Click here
Submit a .zip file (Maximum size - 10 MB) containing Report and Presentation slides - Submit here
Paper 1: Artificial Intelligence in Digital Media: The Era of Deepfakes (Download PDF)