Building Your First Data Science Project in Microsoft Azure

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Axel Sirota

1:51:20

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01. Course Overview

01. Course Overview.mp4

01:34

02. Meet Azure Machine Learning

02. Introducing Microsoft Azure Machine Learning .mp4

04:35

03. Introducing Globomantics Case Study.mp4

01:16

04. Getting the Best out of This Course.mp4

02:55

05. Outline of the Course.mp4

00:51

03. Starting a Data Science Project

06. A Walkthrough of Model Development.mp4

04:43

07. What Is an ML Workspace.mp4

02:22

08. Demo-Create an ML Workspace .mp4

05:08

09. A Preview on Development Environments.mp4

05:26

10. Demo-Setting up the Local Environment Part1.mp4

04:38

11. Demo-Setting up the Local Environment Part2.mp4

06:09

12. Demo-Configuring a DSVM Environment.mp4

03:57

13. Demo-Using Compute Instances .mp4

05:56

14. Key Takeaways and Tips.mp4

01:39

04. Preparing a Data Science Model for Deployment

15. Planning the Next Steps-Training and Deployment .mp4

06:51

16. Demo-Using Curated Environments for Training.mp4

08:56

17. Demo-Using System-managed Environments for Training.mp4

09:10

18. Demo-Using User-managed Environments for Training .mp4

04:54

19. Key Takeaways and Tips .mp4

01:40

05. Implementing Responsible ML

20. What Do We Mean by Responsible ML.mp4

05:29

21. Demo-Diabetes Model Interpretability.mp4

09:57

22. Demo-Analize Fairness in Our Diabetes Model .mp4

10:54

23. Key Takeaways and Tips.mp4

02:20

Description

Behind every machine learning model, there is a great service solving issues like versioning, shareability, deployment, and reproducibility. This course will teach you how to properly start with the right foot on your Data Science projects.

What You'll Learn?

Creating a machine learning model in Azure may seem daunting at first. There are a ton of configurations and specifications to take into account. In this course, Building Your First Data Science Project in Microsoft Azure, you’ll learn how to properly start with the right foot on your Data Science projects with Azure Machine Learning. First, you’ll explore what Azure Machine Learning is. Next, you’ll discover how to select and configure your development environment to ensure success. Finally, you’ll learn how to configure deployments and all the deployment targets within Azure. When you’re finished with this course, you’ll have the skills and knowledge of Azure Machine Learning needed to start your Ml projects the right way.

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Data Science

Microsoft Azure

Axel Sirota

Instructor's Courses

Axel Sirota is a Microsoft Certified Trainer with a deep interest in Deep Learning and Machine Learning Operations. He has a Masters degree in Mathematics and after researching in Probability, Statistics and Machine Learning optimisation, he works as an AI and Cloud Consultant as well as being an Author and Instructor at Pluralsight, Develop Intelligence, and O'Reilly Media.

Pluralsight

View courses Pluralsight

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.