Synthetic Data for Machine Learning (ePub)
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
The machine learning (ML) revolution has made our world unimaginable without its products and services. However, training ML models requires vast datasets, which entails a process plagued by high costs, errors, and privacy concerns associated with collecting and annotating real data. Synthetic data emerges as a promising solution to all these challenges.
This book is designed to bridge theory and practice of using synthetic data, offering invaluable support for your ML journey. Synthetic Data for Machine Learning empowers you to tackle real data issues, enhance your ML models' performance, and gain a deep understanding of synthetic data generation. You'll explore the strengths and weaknesses of various approaches, gaining practical knowledge with hands-on examples of modern methods, including Generative Adversarial Networks (GANs) and diffusion models. Additionally, you'll uncover the secrets and best practices to harness the full potential of synthetic data.
By the end of this book, you'll have mastered synthetic data and positioned yourself as a market leader, ready for more advanced, cost-effective, and higher-quality data sources, setting you ahead of your peers in the next generation of ML.
- Autor: Abdulrahman Kerim
- 2023, 208 Seiten, Englisch
- Verlag: Packt Publishing
- ISBN-10: 1803232609
- ISBN-13: 9781803232607
- Erscheinungsdatum: 27.10.2023
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: ePub
- Ohne Kopierschutz
eBooks und Audiobooks (Hörbuch-Downloads) mit der Familie teilen und gemeinsam genießen. Mehr Infos hier.
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Synthetic Data for Machine Learning".
Kommentar verfassen