Abdulrahman Kerim

Synthetic Data for Machine Learning (eBook, ePUB)

Revolutionize your approach to machine learning with this comprehensive conceptual guide

• Format: ePub

Produktbeschreibung

Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 208
• Erscheinungstermin: 27. Oktober 2023
• Englisch
• ISBN-13: 9781803232607
• Artikelnr.: 69254901

Autorenporträt

Abdulrahman Kerim is a full-time lecturer at UCA and an active researcher at the School of Computing and Communications at Lancaster University, UK. Kerim has an MSc in Computer Engineering with a focus on developing a simulator for computer vision problems. In 2020, Kerim commenced his PhD to investigate synthetic data advantages and potentials. His research on developing novel synthetic-aware computer vision models has been recognized internationally. He published several papers on the usability of synthetic data at top-tier conferences and journals, such as BMVC and IMAVIS. He is currently working with researchers from Google and Microsoft to overcome real-data issues specifically for video stabilization and semantic segmentation tasks.