End-to-End Machine Learning with TensorFlow on GCP

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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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.