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Building Machine Learning Pipelines
Engelsk
Bogcover for Building Machine Learning Pipelines af Hannes Hapke, 9781492053194
Specifikationer
Sprog:
Engelsk
Sider:
364
ISBN-13:
9781492053194
Indbinding:
Paperback
Udgave:
ISBN-10:
1492053198
Udg. Dato:
18 aug 2020
Længde:
23mm
Bredde:
232mm
Højde:
179mm
Forlag:
O'Reilly Media
Oplagsdato:
18 aug 2020
Forfatter(e):
Paperback
Format:

Om denne bog
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. Understand the steps to build a machine learning pipelineBuild your pipeline using components from TensorFlow ExtendedOrchestrate your machine learning pipeline with Apache Beam, Apache Airflow, and Kubeflow PipelinesWork with data using TensorFlow Data Validation and TensorFlow TransformAnalyze a model in detail using TensorFlow Model AnalysisExamine fairness and bias in your model performanceDeploy models with TensorFlow Serving or TensorFlow Lite for mobile devicesLearn privacy-preserving machine learning techniques

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Specifikationer
Sprog:
Engelsk
Sider:
364
ISBN-13:
9781492053194
Indbinding:
Paperback
Udgave:
ISBN-10:
1492053198
Udg. Dato:
18 aug 2020
Længde:
23mm
Bredde:
232mm
Højde:
179mm
Forlag:
O'Reilly Media
Oplagsdato:
18 aug 2020
Forfatter(e):
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