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Serverless Machine Learning with Tensorflow on Google Cloud Platform

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Duration

5h 13m

level

Intermediate

Course Creator

Google Cloud

Last Updated

02-Apr-20

This course covers how to build, scale and operationalize machine learning models on Google Cloud Platform. You build ML models with TensorFlow, an open-source ML package and you can train and deploy them in a serverless way using Cloud ML Engine.

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This course covers how to build, scale and operationalize machine learning models on Google Cloud Platform. On GCP, you build ML models with TensorFlow, an open-source ML package and you can train and deploy them in a serverless way using Cloud ML Engine.
Author Name: Google Cloud
Author Description:
Google Cloud can help solve your toughest problems and grow your business. With Google Cloud, their infrastructure is your infrastructure. Their tools are your tools. And their innovations are your innovations.

Table of Contents

  • Welcome to Serverless Machine Learning on Google Cloud Platform
    4mins
  • Getting Started with Machine Learning
    113mins
  • Building ML models with Tensorflow
    65mins
  • Scaling ML models with Cloud ML Engine
    28mins
  • Feature Engineering
    100mins

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Serverless Machine Learning with Tensorflow on Google Cloud Platform
Serverless Machine Learning with Tensorflow on Google Cloud Platform
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