Artificial Intelligence

Artificial Intelligence

• • Lecture Notes

    • Module I: Scope of AI & Problem Solving [Module 1] [Assignments] 

    • Module II: Knowledge Representation [Module 2] [Hands on]

    • Module III: Understanding Natural Languages [Module 3] [Hands on] 

    • Module IV: Expert Systems [Module 4] [Supplementary Material]

    • Module V: Introduction to Robotics [Module 5] [Supplementary Material]

  • Practical Materials 

    • • 1. • Linear Regression [Document] [Example] [Assignment]

           • Illustrate Missionaries & cannibals Problem [Code] 

           • Illustrate Water Jug Problem [Documentation][Code]

           • Write a program to implement A* algorithm in python [Document]

           • Write a program to solve the Knapsack Problem, aiming to maximize the total profit [Document]

           • Given the word document [Link], do the following:  

             • Implementing tokenization using NLTK and SpaCy

             • Check for word frequency and print the word with highest frequency

             • List the words in different form and Apply Stemming to find the core form of those words

             • POS tagging using pre-trained models

             • Visualization of parse trees [Optional]

             • Apply RegEx (Regular Exprepression) to remove the mail ID from the given text

             • Apply the same RegEx on given image and blur that email in the original image [Link]

             • Apply RegEx and NER to redact name and email ID in the given image [Link]

           • Fuzzy Logic-Based Traffic Signal Control System [Link]

           • Hands-on Projects related to Real-World Problems

• • • • Previous Year Course Feedback  [1]