Predicting the Unknown The History and Future of Data Science and Artificial Intelligence
As a society, we’re 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 Amaz...
| Otros Autores: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Berkeley, CA :
Apress
2023.
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| Edición: | 1st ed. 2023. |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009770740206719 |
Tabla de Contenidos:
- 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. What’s 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.
