Synthetic Data for Deep Learning: Generate Synthetic Data for Decision Making and Applications with Python and R

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022

N. Gürsakal et al.Synthetic Data for Deep Learning https://doi.org/10.1007/978-1-4842-8587-9_1

1. An Introduction to Synthetic Data

Necmi Gürsakal¹  , Sadullah Çelik² and Esma Birişçi²

(1)

Bursa, Turkey

(2)

Aydın, Turkey

 

In this chapter, we will explore the concept of data and its importance in today’s world. We will discuss the lifecycle of data from collection to storage and how synthetic data can be used to improve accuracy in data science and artificial intelligence (AI) applications. Next, we will explore of synthetic data applications in financial services, manufacturing, healthcare, automotive, robotics, security, social media, and marketing. Finally, ...