Concept
An approach in which a program learns patterns from examples instead of following rules written by hand, and uses them to make predictions.
| Type | Concept |
|---|---|
| Wikipedia | en.wikipedia.org/wiki/Machine_learning |
2026-07-14 · Video on YouTube
Azure Open Datasets gives you instant access to curated public datasets hosted by Microsoft in Azure, so you can spend less time searching for and cleaning data and more time building AI, analytics, and machine learning solutions. Instead of downloading files…
2026-10-21
Learn how Azure Machine Learning simplifies building, training, and deploying ML models in the cloud. Demystify workspaces, data, compute, and MLOps. Machine learning is a program that finds patterns in examples instead of following rules a person wrote by…
2025-08-08 · Video on YouTube
Ship ML faster on Microsoft Fabric. This guide shows how to go from Lakehouse data to production models—without the spreadsheet chaos. You’ll get a practical blueprint for curated data layers, reproducible notebooks, MLflow tracking, governed model registry…
2026-10-21 · Video on YouTube
Learn what Azure Databricks actually is, how Apache Spark powers it, and when to use Lakehouse architectures over traditional data warehouses. Apache Spark started as a research project at a university in 2009, and it grew into the engine most big data…
2026-08-15 · Video on YouTube
Everyone wants Copilot and agents, but fragmented data and weak governance undermine trustworthy answers. Mirko Peters talks with Walter Calcagno about Microsoft Fabric, semantic models, ontology layers, metadata and his AI readiness approach. Data…
2026-07-17 · Video on YouTube
Artificial intelligence is fundamentally changing how developers build solutions on Microsoft Power Platform. In this episode of M365.FM, Mirko Peters is joined by Reza Niroomand to explore how AI-powered development is transforming the developer experience…
2025-11-03 · Video on YouTube
This episode breaks down the confusion many organizations face when trying to understand the difference between Microsoft Defender and Microsoft Sentinel, two tools that sound similar but play very different roles in the Azure security landscape. We walk…
2025-11-03 · Video on YouTube
In this episode, we dive into how R and SQL Server work together to create a powerful data analytics workflow. You’ll learn why SQL Server excels at storing, organizing, and retrieving large datasets, while R specializes in statistical analysis…
2025-11-03 · Video on YouTube
Old-school contact centers feel like permanent firefighting: fragmented channels, missing context, repeat questions, and burned-out teams. Dynamics 365 Contact Center flips that script with sentiment analytics and Copilot. Real-time models read tone, word…
2026-08-18 · Video on YouTube
Growing service teams quickly find that one shared queue sends urgent cases to the wrong people or leaves them waiting. This episode explains Dynamics 365 unified routing for customer service leads and admins. You learn how workstreams, queues, skills and…
2026-07-28 · Video on YouTube
Why do so many enterprise AI projects never leave the pilot stage? Five-time Microsoft MVP Leon Gordon explains for data leaders and Fabric teams how value-first proofs, governance by design and strong semantic models turn AI demos into production systems. In…
2025-11-22 · Video on YouTube
Python is NOT the language of AI inside the Microsoft stack—and in this episode, I show you why that belief is quietly wrecking your Power Platform projects, inflating defects, and burning your budget. If you’re cramming Python into Power Automate, Power BI…
Azure Open Datasets are curated public datasets available on Microsoft Azure, offered for free to support data science and machine learning projects. · From the episode: Azure Open Datasets - Simply Explained
You can access them through tools like Python, Power BI and Azure Machine Learning. Because the datasets are free and high quality, you can focus on generating insights instead of data preparation. · From the episode: Azure Open Datasets - Simply Explained
Machine learning is a program that finds patterns in examples instead of following rules a person wrote by hand. That is the whole idea. Azure Machine Learning wraps the messy job of turning data into predictions inside one service, which the episode calls a workshop, not a robot. · From the episode: Azure Machine Learning - Simply Explained
A service that wraps the job of turning data into predictions: you rent a machine pointed at data and the platform handles the rest. · From the episode: Azure Machine Learning - Simply Explained
The episode says the platform itself doesn't add a charge. What you do is rent a machine pointed at your data, and the platform handles the rest. · From the episode: Azure Machine Learning - Simply Explained
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Maintained by Mirko Peters (Microsoft MVP) · Last updated:
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