May 1, 2024
Updated June 27, 2025
17 minute read
Azure Machine Learning
Azure Machine Learning is a comprehensive, cloud-based platform designed to help data scientists and developers build, deploy, and manage machine learning models efficiently. It provides an end-to-end environment that supports the entire machine learning lifecycle, from data preparation and model training to deployment and monitoring. Think of it as a complete workshop for artificial intelligence, equipped with powerful tools, scalable computing resources, and collaborative features, all hosted within Microsoft's robust cloud infrastructure.
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Find a path to becoming a Azure Machine Learning. Learn more at:
OpenCourser.com/topic/d9dboi/azure
Reading list
We've selected three books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Azure Machine Learning.
Comprehensive reference for experienced practitioners who want to master Azure Machine Learning. It covers advanced techniques, best practices, and troubleshooting tips, making it an invaluable resource for professional data scientists and engineers.
Focuses on the Microsoft Azure Machine Learning Studio, a drag-and-drop interface for building and deploying ML models. It is suitable for individuals with limited coding experience who want to leverage Azure ML for their projects.
Offers a gentle introduction to Azure Machine Learning for beginners. It covers basic concepts and provides hands-on tutorials to help readers get started with building and deploying ML models using Azure ML.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/d9dboi/azure