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Название: Predicting the Unknown: The History and Future of Data Science and Artificial Intelligence
Автор: Stylianos Kampakis
Издательство: Apress
Год: 2023
Страниц: 270
Язык: английский
Формат: pdf
Размер: 38.8 MB
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.
Автор: Stylianos Kampakis
Издательство: Apress
Год: 2023
Страниц: 270
Язык: английский
Формат: pdf
Размер: 38.8 MB
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.