Kerim, Abdulrahman
Synthetic Data for Machine Learning: Revolutionize your approach to machine learning with this comprehensive conceptual guide
- ISBN 13:
- 9781803245409
- author:
- Kerim, Abdulrahman
- format:
- Paperback
- publisher:
- Packt Publishing
- language:
- English
- Publication Year:
- 2023
- Pages:
- 208
- Dimensions:
- 23.5 x 19.1 x 1.1 centimetres (0
- Genre:
- Computers, Computer Science, General,
- Condition:
- New
- Availability:
- Item usually sent within 5 working days
Description
Synthetic Data for Machine Learning Revolutionize Your Approach to Machine Learning with This Comprehensive Conceptual Guide Abdulrahman Kerim Packt Publishing, Limited English, 2023-10-27, Paperback, 208 pages This book provides a comprehensive guide to synthetic data generation techniques, best practices, and case studies. By mastering synthetic data, you'll be able to tackle real data issues, enhance your machine learning models' performance, and gain a deep understanding of synthetic data generation. You'll explore the strengths and weaknesses of various approaches, including Generative Adversarial Networks (GANs) and diffusion models, with practical knowledge gained from hands-on examples. Additionally, you'll uncover the secrets and best practices to harness the full potential of synthetic data, positioning yourself as a market leader in the next generation of machine learning. With this book, you'll be equipped to conquer data hurdles, supercharge your ML journey, and stand out from competitors using synthetic data-based solutions.
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