Predicting the unknown the history and future of data science and artificial intelligence
As a society, were in a constant struggle to control uncertainty and predict the unknown. Quite often, we think of scientific fields and theories as being separate from each other. But a more careful investigation can uncover the common thread that ties many of those together. From ChatGPT, to Amazo...
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| Format: | eBook |
| Language: | English |
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New York
Apress
2023
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| Collection: | O'Reilly - Collection details see MPG.ReNa |
Table of Contents:
- 1. Where Are We Now? A Brief History of Uncertainty
- 2. Truth, Logic and the Problem of Induction
- 3. Swans and Space Invaders
- 4. Probability: To Bayes, or not to Bayes?
- 5. Whats Maths Got to Do With It? The Power of Probability Distributions
- 6. Alternative Ideas: Fuzzy Logic and Information Theory
- 7. Statistics: the Oldest Kid on the Block
- 8. Machine Learning: Inside the Black Box
- 9. Causality: Understanding the Why
- 10. Forecasting, and Predicting the Future: The Fox and the Trump
- 11. The Limits of Prediction (Part A): A Futile Pursuit?
- 12. The Limits of Prediction (Part B): Game Theory, Agent-based Modelling and Complexity (Actions and Reactions)
- 13. Uncertainty in Us: How the Human Mind Handles Uncertainty
- 14. Blockchain: Uncertainty in transactions
- 15. Economies of Prediction: A New Industrial Revolution
- Epilogue: The Certainty of Uncertainty