Developing Models in Microsoft Azure

This course is a part of Implementing the Data Science Workflow in Microsoft Azure, a 9-course Paths series from Pluralsight.

Many developers struggle with the time and effort it takes in designing and developing a highly optimal machine learning model. In this course, Developing Models in Microsoft Azure, you will learn the foundational knowledge of machine learning solutions offered by Microsoft Azure. First, you will understand the basics of setting up workspaces, creating blobstore, and making and registering datasets. Next, you will explore how to create an experiment and submit the run on a compute target provided by Microsoft Azure. Finally, you will explore how to tune hyperparameters and use automated machine learning models, allowing for the development of models without writing a single line of code. When you are finished with this course, you will have the skills and knowledge on the various cutting edge features offered by Microsoft Azure Machine Learning service that are necessary in developing a machine learning model.