Elements of AI - Building AI

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

Name		Name	Last commit message	Last commit date
Latest commit History 34 Commits
AI-idea		AI-idea
README.md		README.md
ex1-listing-pineapple-routes		ex1-listing-pineapple-routes
ex10-Naive-Bayes-classifier		ex10-Naive-Bayes-classifier
ex11-real-estate-price-predictions		ex11-real-estate-price-predictions
ex12-least-squares		ex12-least-squares
ex13-predictions-with-more-data		ex13-predictions-with-more-data
ex14-training-data-vs-test-data		ex14-training-data-vs-test-data
ex15-vector-distances		ex15-vector-distances
ex16-nearest-neighbor		ex16-nearest-neighbor
ex17-bag-of-words		ex17-bag-of-words
ex18-TF-IDF		ex18-TF-IDF
ex19-overfitting		ex19-overfitting
ex2-pineapple-route-emissions		ex2-pineapple-route-emissions
ex20-logistic-regression		ex20-logistic-regression
ex21-neural-networks		ex21-neural-networks
ex3-reach-the-highest-summit		ex3-reach-the-highest-summit
ex4-probabilities		ex4-probabilities
ex5-warm-up-temperature		ex5-warm-up-temperature
ex6-simulated-annealing		ex6-simulated-annealing
ex7-flip-the-coin		ex7-flip-the-coin
ex8-fishing-in-the-nordics		ex8-fishing-in-the-nordics
ex9-block-or-not		ex9-block-or-not

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