Details

Subject(s)

• Artificial intelligence [Browse]
• Machine learning [Browse]

Author

• Chen, Charles [Browse]

Related name

• Safari, an O'Reilly Media Company [Browse]

Library of Congress genre(s)

• Video recordings [Browse]

Series

Safari Books Online (Series) [More in this series]

Summary note

ML development often focuses on metrics, delaying work on deployment and scaling issues. ML development designed for production deployments typically follows a pipeline model with scaling and maintainability as inherent parts of the design. Robert Crowe and Charles Chen (Google) takes a deep dive into TensorFlow Extended (TFX), the open source version of the ML infrastructure platform that Google has developed for its own production ML pipelines. Prerequisite knowledge Experience with ML development and software development What you'll learn Discover issues and best practices for putting machine learning models and applications into production.

Copyright note

Copyright © O'Reilly Media, Incorporated.

Issuing body

Made available through: Safari, an O'Reilly Media Company.

Source of description

Online resource; Title from title screen (viewed February 28, 2020)

Participant(s)/​Performer(s)

Presenter, Robert Crowe, Charles Chen.

OCLC

1143019162

Other standard number

• 0636920373865

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