Some materials

• syllabus 

• lesson plan

• Question bank for

  • Test-2 and Test3/2

• MODEL QUESTION PAPER

• Class slides and model questions

• Other materials

  • Classical v/s ML

  • Challenges of AI

• Solution for Test-1 (Check scheme1.pdf file)

  • Stats are updated at the end

Videos

General: 

• How I fell in love with maths

Module-1: Introduction to AI, Machine learning and knowledge representation

• Basics of machine learning 

• AI and human intelligence

• Types of Searches

• Knowledge representation

• Types of knowledge 

Module-2: 

Module-3: Machine learning

• From 3blue1brown:  Neural Networks,  Gradient descent ,  back propagation and Bayes Theorem

• Machine learning model: Video-1

• Regression: Video-1

• Classification: Video-1

• Clustering: Video-1

• Naive Bayes:Video-1

• SVM:Video-1

Module-4: Trends in AI

• AI and ethics: Video-1, Video-2, video-3

  • Machine ethics: Video-1 Video-2(requirements?)

  • AI and Bias: Algorithmic bias

• AIaaS: Video-1

Module-5: Industrial applications of AI

Stats of test-1

Stat of IA, CIE and final IA