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This is Part 3 of Unit 2: Sub-Categories of Supervised & Unsupervised Learning + Sub-Categories of Deep Learning

Learn the core differences between Classification, Regression, Clustering, and Association.

Beyond basic modeling, we explore the architecture behind complex systems. The video provides an overview of deep learning, specifically looking at how ANN, CNN, and NLP models function within the broader landscape of artificial intelligence. By the end, you will have a clearer grasp of which model type suits your specific data problems.

⏱️ Timestamps:
00:00 Introduction: Rule-based and Learning-based modeling
01:32 Recap and Topics to be covered List
02:04 Two types of supervised learning models
02:53 Classification Model with examples
04:30 Regression Model with examples
05:46 Quiz 1
06:47 Two types of UnSupervised Learning
06:53 Clustering with 2 examples
08:34 Association with examples
09:26 Summary Table
10:05 Quiz 2
10:53 Deep Learning Subcategories
11:55 Recap
12:45 Outro

📘 Free Resource:

Artificial Intelligence Facilitator Handbook
https://cbseacademic.nic.in/web_material/Curriculum21/publication/secondary/Class10_Facilitator_Handbook.pdf

👇 I’d love to hear from you:
What topic are you currently struggling with?
What would you like me to cover next?

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