Data Leaders Brief

Adding Common Sense to Machine Learning with TensorFlow Lattice

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

Models are trained on a curated set of examples, or clicks on top-ranked recommendations, or a specific geographical region, and then applied to every user or use case. by TAMAN NARAYAN & SEN ZHAO A data scientist is often in possession of domain knowledge which she cannot easily apply to the structure of the model.

Machine Learning

Machine Learning Deep Learning Modeling Interactive

Manual Feature Engineering

Domino Data Lab

AUGUST 20, 2019

There is also a complementary Domino project available. Introduction. Many data scientists deliver value to their organizations by mapping , developing, and deploying an appropriate ML solution to address a business problem. Feature engineering is useful for data scientists when assessing tradeoff decisions regarding the impact of their ML models.

Testing

Testing Modeling Interactive Measurement

Data Leaders Brief

Adding Common Sense to Machine Learning with TensorFlow Lattice

Manual Feature Engineering

Webinars

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