You're reading from The AI Product Manager's Handbook

Product typeBook

Published inFeb 2023

Reading LevelIntermediate

PublisherPackt

ISBN-139781804612934

Edition1st Edition

Languages

Python

Concepts

Artificial Intelligence

Author (1)

Irene Bratsis

References

The What Why and How of A/B Testing in Machine Learning: https://mlops.community/the-what-why-and-how-of-a-b-testing-in-ml/#:~:text=An%20A%2FB%20test%2C%20also,guesswork
TFX: https://www.tensorflow.org/tfx
Seldon: https://www.seldon.io/
Dataiku: https://www.dataiku.com/
DataRobot: https://www.datarobot.com/
Domino Data Lab: https://www.dominodatalab.com/
Cloudera Data Science Workbench: https://www.cloudera.com/products/data-science-and-engineering/data-science-workbench.html
Weights and Biases: https://wandb.ai/site
ML Flow: https://mlflow.org/

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The AI Product Manager's Handbook

Published in: Feb 2023Publisher: PacktISBN-13: 9781804612934

Author (1)

Irene Bratsis

Irene Bratsis is a director of digital product and data at the International WELL Building Institute (IWBI). She has a bachelor's in economics, and after completing various MOOCs in data science and big data analytics, she completed a data science program with Thinkful. Before joining IWBI, Irene worked as an operations analyst at Tesla, a data scientist at Gesture, a data product manager at Beekin, and head of product at Tenacity. Irene volunteers as NYC chapter co-lead for Women in Data, has coordinated various AI accelerators, moderated countless events with a speaker series with Women in AI called WaiTalk, and runs a monthly book club focused on data and AI books.
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Author (1)

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