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Building Machine Learning Pipelines

Af: Hannes Hapke, Catherine Nelson Engelsk Paperback
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kr 263

Building Machine Learning Pipelines

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


Kategori Parallel databehandling


Sprog Engelsk


Indbinding Paperback


Sider 364


Udgave


Længde 23mm


Bredde 179mm


Højde 232mm


Udg. Dato 18 aug 2020


Oplagsdato 18 aug 2020

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