Building Your First Data Science Project in Microsoft Azure
Offered By: Pluralsight
Course Description
Overview
Behind every machine learning model, there is a great service solving issues like versioning, shareability, deployment, and reproducibility. This course will teach you how to properly start with the right foot on your Data Science projects.
Creating a machine learning model in Azure may seem daunting at first. There are a ton of configurations and specifications to take into account. In this course, Building Your First Data Science Project in Microsoft Azure, you’ll learn how to properly start with the right foot on your Data Science projects with Azure Machine Learning. First, you’ll explore what Azure Machine Learning is. Next, you’ll discover how to select and configure your development environment to ensure success. Finally, you’ll learn how to configure deployments and all the deployment targets within Azure. When you’re finished with this course, you’ll have the skills and knowledge of Azure Machine Learning needed to start your Ml projects the right way.
Creating a machine learning model in Azure may seem daunting at first. There are a ton of configurations and specifications to take into account. In this course, Building Your First Data Science Project in Microsoft Azure, you’ll learn how to properly start with the right foot on your Data Science projects with Azure Machine Learning. First, you’ll explore what Azure Machine Learning is. Next, you’ll discover how to select and configure your development environment to ensure success. Finally, you’ll learn how to configure deployments and all the deployment targets within Azure. When you’re finished with this course, you’ll have the skills and knowledge of Azure Machine Learning needed to start your Ml projects the right way.
Syllabus
- Course Overview 1min
- Meet Azure Machine Learning 9mins
- Starting a Data Science Project 40mins
- Preparing a Data Science Model for Deployment 31mins
- Implementing Responsible ML 28mins
Taught by
Axel Sirota
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