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AI
18 topics across 4 chapters
Chapter 1
Foundations of AI
1
History of AI
2
Symbolic AI vs Subsymbolic AI
3
Search & Planning
Chapter 2
Machine Learning Basics
4
Supervised Learning
5
Unsupervised Learning
6
Evaluation Metrics
Chapter 3
Neural Networks & Deep Learning
7
Perceptrons
8
Backpropagation
9
CNNs (Convolutional Neural Networks)
10
Transformers
Chapter 4
Responsible AI & Deployment
11
Principles of Responsible AI
12
Deployment Considerations
13
Data Ethics & Privacy

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