How to extend Featuretools primitive-functions to automatically create features from tabular text columns.

Image by Google. Diagram of a text-to-text framework. Every task uses text as input to the model, which is trained to generate some target text. This allows the same model, loss function, and hyperparameters across a diverse set of tasks, including translation (green), linguistic acceptability (red), sentence similarity (yellow), and document summarization (blue). see Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer


Jan 29, 2020 Mike Casale |

“The alchemist knew the legend of Narcissus, a youth who knelt daily beside a lake to contemplate his own beauty. He was so fascinated by himself that, one morning, he fell into the lake and drowned.” — Paulo Coelho, The Alchemist

A Path Toward Automated Social Network Lie Detection Using Transfer Learning with Google’s T5 Unified Text-to-Text Transformer Model

“The Coronavirus’s Impact on Housing Is Now Nearly Nationwide” — Redfin

How AI Could Stabilize Real-Estate Prices During Coronavirus Panic

Artwork by Beau Stanton — Backfire: CARTOGRAPHY OF THE MACHINE (2014)

Mike Casale

AVM/Data Scientist | machine learning developer, start-ups, creating business intelligence tools and predictive analytics models. Climate action enthusiast.

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