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Google Cloud

End-to-End Machine Learning with TensorFlow on Google Cloud

Google Cloud and Google via Coursera

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Overview

Class Central Tips
In the first course of this specialization, we will recap what was covered in the Machine Learning with TensorFlow on Google Cloud Platform Specialization (https://www.coursera.org/specializations/machine-learning-tensorflow-gcp).

One of the best ways to review something is to work with the concepts and technologies that you have learned.

So, this course is set up as a workshop and in this workshop, you will do End-to-End Machine Learning with TensorFlow on Google Cloud Platform

Prerequisites:
Basic SQL, familiarity with Python and TensorFlow

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Syllabus

  • Welcome to the Course
    • We'll give you an overview of this course and reveal the upcoming Advanced Machine Learning with TensorFlow on GCP specialization.
  • Machine Learning (ML) on Google Cloud Platform (GCP)
    • This module reviews the steps of deploying machine learning in a production environment.
  • Explore the Data
    • This module explores a large dataset using Datalab and BigQuery.
  • Create the dataset
    • This modules shows how to use Pandas in Datalab and sample a dataset for local development.
  • Build the Model
    • This module let's you develop a machine learning model in Tensorflow.
  • Operationalize the model
    • This module explains how to preprocess data at scale for machine learning and lets you train a machine learning model at scale on Cloud AI Platform.
  • Summary
    • This module reviews what you've learned in this course.

Taught by

Google Cloud Training

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4.5 rating at Coursera based on 1643 ratings

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