Predicting the Unknown: The History and Future of Data Science and Artificial Intelligence

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2023

S. KampakisPredicting the Unknownhttps://doi.org/10.1007/978-1-4842-9505-2_11

11. The Limits of Prediction (Part A): A Futile Pursuit?

Stylianos Kampakis¹  

(1)

London, UK

 

“Prediction is very difficult, especially if it's about the future.”

—Nils Bohr, Nobel laureate in Physics, 1922

So far we’ve seen some of the major approaches in data science, and we discussed many of the challenges that we face when trying to predict the future or make algorithms that learn from data. It’s natural for someone to ask, what exactly can we predict and what can’t we? How can we have faith in our predictions? What are the limits of our knowledge? Is it always the case that we ...