Developing Models in Microsoft Azure

It's common to spend a lot of resources on identifying an optimal machine learning model. In this course, you will learn how to simplify this process using various cutting edge features offered by Microsoft Azure Machine Learning service.
Course info
Rating
(11)
Level
Intermediate
Updated
Sep 11, 2020
Duration
1h 55m
Table of contents
Description
Course info
Rating
(11)
Level
Intermediate
Updated
Sep 11, 2020
Duration
1h 55m
Description

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.

About the author
About the author

I have been passionate about designing and developing software that is scalable, portable and maintainable.

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Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
Hi everyone. My name is Saravanan Dhandapani, and welcome to my course on Developing Models in Microsoft Azure. I'm an architect working at Sabre Corporation focused on middleware and cloud technologies. Microsoft Azure has made great progress when it comes to simplifying the development of a mission learning model by providing a visual interface and developing a model without writing a single line of code. This has made Microsoft Azure one of the go‑to solutions when it comes to mission learning. In this course, we are going to see how to set up a machine learning environment in Microsoft Azure, preprocess data using the Python SDK provided by Microsoft Azure Machine Learning service, create and train the experiment and perform a distributed training on a computing resource offered by Microsoft Azure, learn how to tune hyperparameters, and finally, get hands‑on experience in using the automated machine learning service offered by Microsoft. By the end of this course, you will know all the features and benefits offered by Microsoft Azure to ease your model development process. Before beginning this course, you should be familiar with basic Python programming and machine learning. I hope you will join me on this exciting journey to learn machine learning modeling with the Developing Models in Microsoft Azure course, at Pluralsight.