TensorFlow Extended (TFX) Overview and Pre-training Workflow (TF Dev Summit '19)
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TensorFlow Extended (TFX) Post-training Workflow (TF Dev Summit '19)
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TensorFlow Extended (TFX): Machine Learning Pipelines and Model Understanding (Google I/O'19)
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TFX: Production ML with TensorFlow in 2020 (TF Dev Summit '20)
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Taking Machine Learning from Research to Production • Robert Crowe • GOTO 2019
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SysML 19: Martin Zinkevich, Data Validation for Machine Learning
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Continuous retraining with TFX and Beam
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ML Summit: Predict | ML Engineering for Production ML Deployments
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From Experimentation to Products: The Production Machine Learning Journey • Robert Crowe • GOTO 2021
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Machine Learning Engineering for Production (MLOps)
Description:
In this course, you will learn about TensorFlow Extended (TFX). You will learn about ML engineering for production ML deployments with TFX, how TFX pipelines work, why we need metadata, distributed processing and components, model understanding and business reality, production ML pipelines with TensorFlow, Keynote, machine learning fairness, taking machine learning from research to production, data validation for machine learning, the production machine learning journey, Machine Learning Engineering for Production MLOps, and much more.