The Smart Data Foundry takes data from banks and other financial institutions, de-identified data. It's difficult for anyone to provide entirely correct data and often mistakes get made. TDDA is quite closely connected with the idea of reproducibility. And we use exactly the sorts of checks I'm talking about to check that our results are right before releasing them.
Send us a text
Nick Radcliffe, data scientist and entrepreneur, talks to us about the importance of test your data. As software engineers we are familiar with test driven development. Test driven data analysis puts the same emphasis on validating and testing data for your AI app. We also dive into the Python library of the same name tdda.
Links:
Other libraries mentioned:
Don't forget the upcoming RSE conferences and the Hidden Ref event
Support the show
Thank you for listening! Merci de votre écoute! Vielen Dank für´s Zuhören!
Contact Details/ Coordonnées / Kontakt:
This podcast is licensed under the Creative Commons Licence: https://creativecommons.org/licenses/by-sa/4.0/