Predicting the Unknown - The History and Future of Data Science and Artificial Intelligence (1st ed.)

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 Explore the bigger picture of data science and see how to best anticipate future changes in that field Understand machine learning, AI, and data science Examine data science and AI through engaging historical and human-centric narratives  Who is This Book For Business leaders and technology enthusiasts who are trying to understand how to think about data science and AI

General

Imprint:	Apress
Country of origin:	United States
Release date:	June 2023
First published:	2023
Authors:	Stylianos Kampakis
Dimensions:	254 x 178mm (L x W)
Pages:	264
Edition:	1st ed.
ISBN-13:	978-1-4842-9504-5
Categories:	Books Promotions
LSN:	1-4842-9504-8
Barcode:	9781484295045

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!