Synthetic Data for Machine Learning. Revolutionize your approach to machine learning with this comprehensive conceptual guide
- Wydawnictwo:
- Packt Publishing
- Ocena:
- Stron:
- 208
- Dostępne formaty:
-
PDFePub
Opis
książki
:
Synthetic Data for Machine Learning. Revolutionize your approach to machine learning with this comprehensive conceptual guide
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.
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Szczegóły książki
- Tytuł oryginału:
- Synthetic Data for Machine Learning. Revolutionize your approach to machine learning with this comprehensive conceptual guide
- ISBN Ebooka:
- 978-18-032-3260-7, 9781803232607
- Data wydania ebooka :
-
2023-10-27
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- Język publikacji:
- angielski
- Rozmiar pliku Pdf:
- 12.1MB
- Rozmiar pliku ePub:
- 9.9MB
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