Faculty Development Programme

Online Faculty Development Programme on ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING (27th September to 9th October 2021)

Major Course Contents
  • Introduction to AI, Agents, Environments and Problem Formulations
  • Search Algorithms and Game Search
  • Probabilistic Reasoning and Hidden Markov Model
  • Markov Decision Process
  • Reinforcement Learning
  • Overview of Machine Learning
  • Supervised and Unsupervised Learning
  • Classification
  • Support Vector Machine, Decision Tree and Random Forest
  • K-Nearest Neighbors Algorithm
  • Overfitting and Underfitting
  • Neural Networks
  • Overview of Deep Learning
  • Concept of Data Science and Web Scraping
  • Programming Tools for Data Science
  • Mathematical Foundations: Linear Algebra,Statistics, Probability and Hypothesis and Inference
  • Regression
  • Recommender Systems
  • Case Studies on AI and ML Application
  • Case Studies on DS Application
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