Description
Course info
Rating
(30)
Level
Intermediate
Updated
Aug 7, 2020
Duration
1h 42m
Description

When working on data science initiatives it can be challenging to gain actionable insights from your data set. In this course, Designing Machine Learning Solutions on Microsoft Azure, you will learn how to leverage Azure's Machine Learning capabilities to greatly increase the chance of success for your data science project. First, you will engage in team workflow and how Microsoft's Team Data Science Process (TDSP) enables best practices across disciplines. Next, you will discover the workflow of the Azure Machine Learning Service and how it can be leveraged on your project. After this, you will review how to create a pipeline for your data preparation, model training, and model registration. Finally, you will explore the infrastructure approaches that can be leveraged for machine learning and how those approaches are supported on Azure. When you are finished with this course, you will possess the skills that will be needed to start a data science project on Azure and the tools that will increase your ability to gain those actionable insights.

About the author
About the author

David is a Webby Award winning cloud development consultant that focuses on cloud native web, mobile, and IoT applications. He has over 15 years of experience building digital solutions.

More from the author
Exam Alert: Develop Azure Compute Solutions
Intermediate
30m
May 25, 2021
Exam Alert: Develop for Azure Storage
Intermediate
23m
May 25, 2021
Exam Alert: Implement Azure Security
Intermediate
25m
May 25, 2021
More courses by David Tucker
Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
[Autogenerated] Hello, everyone. My name is David Tucker and welcome to the course designing Machine Learning Solutions on Microsoft Azure. I am a cloud consultant and I help organizations everyday plan build and implement custom data solutions in the cloud I have over 15 years of experience in software architectures and development. Now, when working on data science initiatives, it can be challenging to gain actionable insights from your dataset in this course designing machine learning solutions on Microsoft Azure, you will learn how to leverage azure is machine learning capabilities to greatly increase the chance of success for your data science project. First, we will review team workflow and how Microsoft's enum data science process enables best practices across disciplines. Next, we will review the work flow of the Azure Machine Learning Service and how it can be leveraged on your project. After this, we will review how to create a pipeline for your data preparation, model training and model registration. Finally, we will review the infrastructure approaches that can be leveraged for machine learning and how these approaches are supported on azure. When you are finished with this course, you will possess the skills that will be needed to start a data science project on Azure and the tools that will increase your ability to gain those actionable insights.