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Category: Episodes

The evolution of TensorFlow and of machine learning infrastructure

The Data Exchange Podcast: Rajat Monga on TensorFlow 2.0, TFX, and the state of machine learning platforms.

distributed, hardware, infrastructure, ml-ops, open source, recommendations, tensorflow

Building large-scale, real-time computer vision applications

The Data Exchange Podcast: Reza Zadeh on use cases, adversarial attacks, deepfakes, fairness, privacy, and security.

conference, privacy, realtime, risk, vision

Taking stock of foundational tools for analytics and machine learning

The Data Exchange Podcast: Paco Nathan on data governance, AutoML, notebooks, and deep learning libraries.

governance, infrastructure, lineage, pytorch, tensorflow

© Gradient Flow, 2019-present. No part of this site, The Data Exchange podcast, may be reproduced in whole or in part in any manner without the permission of the copyright owner.


 

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