Author

Jonathon Byrd

Jonathon Byrd is a Ph.D. candidate at Carnegie Mellon University's Machine Learning department, where he focuses on Deep Learning, Graph Neural Networks, Survival Analysis, Domain Adaptation, Graph Neural Networks, and Healthcare Applications. His work has been published at top machine learning conferences including NeurIPS and ICML. He has also developed novel ML algorithms and models that are being used in practice today.

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Jonathon Byrd

All blogs by Jonathon Byrd

sampleImage_active-learning-computer-vision-guide
Computer VisionMachine Learning
A Practical Guide to Active Learning for Computer Vision

12 m

sampleImage_data-augmentation-guide
Machine Learning
The Full Guide to Data Augmentation in Computer Vision
sampleImage_data-clustering-intro-methods-applications
Machine Learning
Data Clustering: Intro, Methods, Applications

10 m