Subject archive for "data-scientists"
By Katie Shakman11 min read
Jupyter Notebook has become one of the key primary tools for many data scientists. It offers a clear way to collaborate with others throughout the process of data exploration, feature engineering and model fitting and through utilizing some clear best practices, can also become living documents of how that code operates.
By David Bloch5 min read
At The Climate Corporation, we aim to help farmers better understand their operations and make better decisions to increase their crop yields in a sustainable way. We’ve developed a model-driven software platform, called Climate FieldView™, that captures, visualizes, and analyzes a vast array of data for farmers and provides new insight and personalized recommendations to maximize crop yield. FieldView™ can incorporate grower-specific data, such as historical harvest data and operational data streaming in from special devices, including (our FieldView Drive) that are installed in tractors, combines, and other farming equipment. It incorporates public and third-party data sets, such as weather, soil, satellite, elevation data and proprietary data, such as genetic information of seed hybrids that we acquire from our parent company, Bayer.
By Jeff Melching10 min read
Domino and Okera - Provide data scientists access to trusted datasets within reproducible and instantly provisioned computational environments.
By David Bloch8 min read
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