Abstract
The Google Cloud Machine Learning Engine, simply known as Cloud MLE, is a managed Google infrastructure for training and serving “large-scale” machine learning models. Cloud ML Engine is a part of GCP AI Platform. This managed infrastructure can train large-scale machine learning models built with TensorFlow, Keras, Scikit-learn, or XGBoost. It also provides modes of serving or consuming the trained models either as an online or batch prediction service. Using online prediction, the infrastructure scales in response to request throughout, while with the batch mode, Cloud MLE can provide inference for TBs of data.
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© 2019 Ekaba Bisong
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Bisong, E. (2019). Google Cloud Machine Learning Engine (Cloud MLE). In: Building Machine Learning and Deep Learning Models on Google Cloud Platform. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-4470-8_41
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DOI: https://doi.org/10.1007/978-1-4842-4470-8_41
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-4469-2
Online ISBN: 978-1-4842-4470-8
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