(Ebook PDF) Predicting the Unknown The History and Future of Data Science and Artificial Intelligence 1st edition by Stylianos Kampakis 1484295056 9781484295052 full chapters

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ISBN-10 :  1484295056 

ISBN-13 :  9781484295052

Author : Stylianos Kampakis 

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 Amazon’s Alexa, to Apple’s Siri, data science, and computer science have become part of our lives. In the meantime, the demand for data scientists has grown, as the field has been increasingly called the “sexiest profession.”  This book attempts to specifically cover this gap in literature between data science, machine learning and artificial intelligence (AI). 

Predicting the Unknown: The History and Future of Data Science and Artificial Intelligence 1st 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. What’s Math 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 Modeling 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

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Predicting,the Unknown,The History,Future,Data Science,Artificial Intelligence,Stylianos Kampakis