Alexander Shirkov
Alexander Shirkov is a Senior SDE at Amazon AI. He is the co-author and maintainer of the open-source AutoML framework AutoGluon. Starting as a personal competition ML toolkit in 2018, Alexander continually expanded the capabilities of AutoGluon and joined Amazon AI in 2020 to work full time on advancing the state-of-the-art in AutoML.
Sessions
AutoGluon is an open source AutoML framework, developed by AWS. It can train models on multimodal image-text-tabular data with a few lines of code, producing a powerful multi-layer stack ensemble of transformer image models, BERT language models, and a suite of tabular models all working in tandem. This tutorial will give an overview of AutoGluon followed by a deep dive into how (and why) it has proven to be so effective, and finish with code examples to demonstrate how you can revolutionize your ML workflow.