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

by 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). How was uncertainty approached historically, and how has it evolved since? What schools of thought exist in philosophy, mathematics, and engineering, and what role did they play in the development of data science? It uses the history of data science as a stepping stone to explain what the future might hold. Predicting the Unknown provides the framework that will help you understand where AI is headed, and how to best prepare for the world that’s coming in the next few years, both as a society and within a business. It is not technical and avoids equations or technical explanations, yet is written for the intellectually curious reader, and the technical expert interested in the historical details that can help contextualize how we got here. What You’ll Learn Who is This Book For Business leaders and technology enthusiasts who are trying to understand how to think about data science and AI

284 pages, Paperback

Published June 16, 2023

Reviews

[Jerry Floros · Rating 5 out of 5]

Everything you need to know about uncertainty, probability, data science, machine learning

Excellent researched and well-written book on artificial intelligence, covers the most important aspects of predicting the unknown.

Dr Stylianos Kampakis is an expert on the subject matter. Highly recommended read for anyone interested in data science and artificial intelligence.

[Mikhail Filatov · Rating 2 out of 5]

A strange mix of Wiki-level information about the history of probability theory, statistics, machine learning, “thinking fast and slow” summary…and advertisement for blockchain.
Not sure what exactly is the point of the book.