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Transforming Skewed Data for Machine Learning -
Facebook’s Prophet Forecasting Crystal Ball -
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Using Text Features to Predict the Great Stock Market Crash of 1929
Learning with Limited Labels | ODSC West 2020
This talk introduces my recent research on learning with less labels. I develop domain adaptation, low-shot learning, and self-supervised learning algorithms to transfer information through multiple domains and recognize novel categories with few-shot samples.
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