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

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3:15:40

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00. Welcome to the Course

00. Intro to Specialization.mp4

01:49

01. Course Introduction.mp4

03:07

01. Machine Learning (ML) on Google Cloud Platform (GCP)

00. Effective ML.mp4

06:10

01. Fully managed ML.mp4

05:51

02. Explore the Data

00. Exploring the dataset.mp4

05:48

01. BigQuery.mp4

03:46

02. BigQuery and AI Platform Notebooks.mp4

02:19

03. Getting started with GCP and Qwiklabs.mp4

03:48

04. Lab 1 Intro - Exploring the dataset.mp4

01:05

05. Explore dataset.mp4

00:10

06. Lab 1 demo and review.mp4

10:33

03. Create the dataset

00. Creating a dataset.mp4

07:26

01. Lab 2 Intro - Create a sample dataset.mp4

00:29

02. Create a sample dataset.mp4

00:10

03. Lab 2 - demo and review.mp4

16:07

04. Build the Model

00. Build the model.mp4

11:05

01. Lab 3 Intro - Creating a TensorFlow model.mp4

06:39

02. Create TensorFlow model.mp4

00:10

03. Lab 3 - demo and review.mp4

17:05

05. Operationalize the model

00. Operationalizing the model.mp4

08:12

01. Lab 4 Intro - Preprocessing with Cloud Dataflow.mp4

00:24

02. Preprocessing using Dataflow.mp4

00:10

03. Lab 4 demo and review.mp4

12:40

04. Cloud AI Platform.mp4

03:43

05. Train and deploy with Cloud AI Platform.mp4

02:32

06. Lab 5 - Training on Cloud AI Platform.mp4

01:49

07. Training on Cloud AI Platform.mp4

00:10

08. Lab 5 demo and review.mp4

17:33

09. BigQuery ML.mp4

04:39

10. Lab Introduction.mp4

00:13

11. Lab Solution BigQuery ML.mp4

10:56

12. Deploying and Predicting with Cloud AI Platform.mp4

03:41

13. Lab 6 Intro - Deploying and Predicting with Cloud AI Platform.mp4

00:33

14. Deploying and predicting with Cloud AI Platform.mp4

00:10

15. Lab 6 - demo and review.mp4

06:42

16. Lab 7 - Building an App Engine app to serve ML predictions.mp4

02:54

17. Lab 7 - demo and review.mp4

10:25

06. Summary

00. Summary.mp4

04:37

Description

This course is set up as a workshop where you will do End-to-End Machine Learning with TensorFlow on Google Cloud Platform. It involves building an end-to-end model from data exploration all the way to deploying an ML model and getting predictions from it.

What You'll Learn?

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. It involves building an end-to-end model from data exploration all the way to deploying an ML model and getting predictions from it.

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Machine Learning

TensorFlow

Google Cloud

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Pluralsight

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Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.