Introduction to Azure Machine Learning
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 47m | 127 MB
Instructor: Clint Bonnett
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 47m | 127 MB
Instructor: Clint Bonnett
Machine learning workflows can be complex and fragmented. This course will teach you how to evaluate and navigate Azure Machine Learning for enterprise-scale ML lifecycle support.
What you'll learn
Machine learning often requires complex coordination across tools, teams, and compute environments. In this course, Introduction to Azure Machine Learning, you’ll learn to evaluate and navigate Azure Machine Learning for enterprise-scale ML lifecycle support.
First, you’ll explore the core purpose of Azure Machine Learning and where it fits in the machine learning workflow. Next, you’ll discover real-world use cases and how Azure ML compares to related Azure services. Finally, you’ll learn how different personas—from data scientists to ML engineers—interact with the platform using tools like Studio, SDKs, and pipelines.
When you’re finished with this course, you’ll have the skills and knowledge of Azure Machine Learning needed to assess its fit for your organization’s machine learning needs.