Course website: buildingai.elementsofai.com
Chapter 1. Getting started with AI
I. Why AI matters
II. Optimization
III. Hill climbing
Chapter 2. Dealing with uncertainty
I. Probability fundamentals
II. The Bayes Rule
III. Naive Bayes classifier
Chapter 3. Machine learning
I. Linear regression
II. The nearest neighbor method
III. Working with text
IV. Overfitting
Chapter 4. Neural networks
I. Logistic regression
II. From logistic regression to neural networks
III. Deep learning
Chapter 5. Conclusion
I. Summary
II. Your AI Idea and AI idea gallery