Preface
Machine learning (ML) has made our lives far easier. We cannot imagine our world without ML-based products and services. ML models need to be trained on large-scale datasets to perform well. However, collecting and annotating real data is extremely expensive, error-prone, and subject to privacy issues, to name a few disadvantages. Synthetic data is a promising solution to real-data ML-based solutions.
Synthetic Data for Machine Learning is a unique book that will help you master synthetic data, designed to make your learning journey enjoyable. In this book, theory and good practice complement each other to provide leading-edge support!
The book helps you to overcome real data issues and improve your ML models’ performance. It provides ...
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