Presented By: Department of Computational Medicine and Bioinformatics DCMB
DCMB Tools and Technology Seminar by Xiao-Su (Frank) Hu (MIDAS)
“AutoGluon: A Practical Guide for Researchers”
- Tool Link: https://auto.gluon.ai
- MIDAS AI in Research Handbook: https://midas-ai-in-research.readthedocs.io
Abstract
AutoGluon is an open-source AutoML framework that automates model training and selection across multiple data types, including tabular data, text, and images. This talk provides a practical introduction to AutoGluon for researchers who want to incorporate machine learning into their workflows without extensive ML expertise. We will walk through hands-on examples across different data modalities and discuss common pitfalls and best practices for getting reliable results.
- MIDAS AI in Research Handbook: https://midas-ai-in-research.readthedocs.io
Abstract
AutoGluon is an open-source AutoML framework that automates model training and selection across multiple data types, including tabular data, text, and images. This talk provides a practical introduction to AutoGluon for researchers who want to incorporate machine learning into their workflows without extensive ML expertise. We will walk through hands-on examples across different data modalities and discuss common pitfalls and best practices for getting reliable results.
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