AI foundations Notes

Your 20-page Foundations of AI Notes PDF

Here's what's packed inside:

Cover Page → Topics overview & visual design

Pages 2–3 → Introduction to AI + Types of AI (Narrow/AGI/Super)

Pages 4–5 → Search Algorithms—BFS, DFS, A* with solved examples

Pages 6–8 → Machine Learning—Linear Regression, Logistic Regression, Decision Trees, KNN with formulas & solved examples

Pages 9 → Unsupervised Learning—K-Means Clustering with solved example

Pages 10–13 → Neural Networks—Backpropagation, CNN, RNN/LSTM, Transformers, Famous models (ChatGPT, BERT, ResNet)

Pages 14–15 → NLP—Pipeline, TF-IDF, Sentiment Analysis with solved example

Pages 16–17 → AI Ethics & Future—Bias, Privacy, Career Paths, Top Tools

Pages 18–19 → Formula Sheet + All Definitions in one place

Page 20 → Top 10 Exam Tips + Common Mistakes to Avoid