Building Machine Learning Pipelines: Automating Model Life Cycles with Tensorflow Contributor(s): Hapke, Hannes (Author), Nelson, Catherine (Author) |
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ISBN: 1492053198 ISBN-13: 9781492053194 Publisher: O'Reilly Media OUR PRICE: $71.99 Product Type: Paperback - Other Formats Published: August 2020 |
Additional Information |
BISAC Categories: - Computers | Data Modeling & Design - Computers | Natural Language Processing - Computers | Image Processing |
Dewey: 006.31 |
LCCN: 2022276253 |
Physical Information: 0.76" H x 7" W x 9.19" (1.28 lbs) 364 pages |
Descriptions, Reviews, Etc. |
Publisher Description: Companies are spending billions on machine learning projects, but it's money wasted if the models can't be deployed effectively. In this practical guide, Hannes Hapke and Catherine Nelson walk you through the steps of automating a machine learning pipeline using the TensorFlow ecosystem. You'll learn the techniques and tools that will cut deployment time from days to minutes, so that you can focus on developing new models rather than maintaining legacy systems. Data scientists, machine learning engineers, and DevOps engineers will discover how to go beyond model development to successfully productize their data science projects, while managers will better understand the role they play in helping to accelerate these projects.
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