Authoring for Pluralsight – Azure Machine Learning
Off to start another set of courses for Pluralsight:
- Sourcing Data in Microsoft Azure
- Deploying and Managing Models in Microsoft Azure
- Cleaning and Preparing Data in Microsoft Azure
If you would like to check out any of my other courses, visit my author’s profile.
Sourcing Data in Microsoft Azure
This course is for people looking to move into the data sciences. They can have an existing background in development or IT.
This course will show how to find data in Microsoft Azure, how to move and change that data, and finally how to build workflows around that data.
This course assumes the developer has an understanding of basic computer terminology and the azure portal.
Deploying and Managing Models in Microsoft Azure
This course is for people looking to move into the data sciences. They can have an existing background in development or IT.
This course introduces the audience to the different data preparation steps involved with data projects. This course will show how to clean, transform, and wrangle the data needed for a data project.
This course assumes the developer has an understanding of basic computer terminology and the azure portal.
Cleaning and Preparing Data in Microsoft Azure
This course is for data science practitioners who need to learn more about how to utilize tools for managing the models they create.
The audience will be taken through automation and DevOps to learn more about how to manage their workflows. Everything from versioning, automated deployments, automated hyper-parameter tuning, and more will be discussed.
This course assumes the data scientist has an understanding of machine learning and common terminology and integration in machine learning projects. The course also assumes the data scientist has knowledge of Azure and the Azure portal.