End-to-End Machine Learning with TensorFlow on GCP

Por: Coursera . en: , ,

Overview

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.

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