Introduction: The Data Problem

Sergey I. Nikolenko ()
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Sergey I. Nikolenko: Synthesis AI

Chapter Chapter 1 in Synthetic Data for Deep Learning, 2021, pp 1-17 from Springer

Abstract: Abstract Machine learning has been growing in scale, breadth of applications, and the amounts of required data. This presents an important problem, as the requirements of state-of-the-art machine learning models, especially data-hungry deep neural networks, are pushing the boundaries of what is economically feasible and physically possible. In this introductory chapter, we show and illustrate this phenomenon, discuss several approaches to solving the data problem, introduce the main topic of this book, synthetic data, and outline a plan for the rest of the book.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-030-75178-4_1

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DOI: 10.1007/978-3-030-75178-4_1

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