Microsoft Fabric Updates Blog

Fabric Espresso – Episodes about Data Science & Machine Learning in Microsoft Fabric

For the past 1.5 years, the Microsoft Fabric Product Group Product Managers have been publishing a YouTube series featuring deep dives into Microsoft Fabric’s features. These episodes cover both technical functionalities and real-world scenarios, providing insights into the product roadmap and the people driving innovation. With over 80+ episodes, the series serves as a valuable resource for anyone looking to understand and optimize their use of Microsoft Fabric.

All episodes are available at https://aka.ms/fabric-espresso making it easy to explore the entire catalog. However, to enhance the learning experience, we are launching a short series of blog posts that will categorize the episodes into thematic groups, providing explanations and key takeaways for each.

Fabric Espresso & Data Science & Machine Learning

This week, we focus on Data Science & Machine Learning in Microsoft Fabric. Below is a curated list of episodes that explore various aspects of data science workflows, model training, AutoML, and machine learning capabilities in Fabric.

Episodes on Data Science & Machine Learning:

1. Low Code AutoML UI in Microsoft Fabric Data Science

2. Hyperparameter tuning in Fabric Data Science

3. AutoML in Fabric Data Science – automated model training and optimization

4. Data Wrangler in Microsoft Fabric (an immersive interface for exploratory data analysis)

5. Microsoft Fabric Data Science – Detecting Machine Failure (Classification)

6. Fabric Data Science Cust churn scenario – when a customer will stop doing business with the bank

7. Fabric Data Science Sales Forecasting: Predict sales numbers for product categories at a superstore

8. Autologging and MLFlow in Fabric Data Science

9. Model & Experiment Tracking in Fabric Data Science (MLFLOW)

10. R (Programming Language) in Microsoft Fabric – An Insightful Overview with Fabric Product Group

11. Data Science in Microsoft Fabric – Model scoring with PREDICT

12. Data Science in Microsoft Fabric – Data preparation and exploration with Data Wrangler

13. Fabric Copilot billing pricing

14. Copilot in Microsoft Fabric | Ultimate demo of copilots in Notebooks – DS & DE

Related blog posts

Fabric Espresso – Episodes about Data Science & Machine Learning in Microsoft Fabric

November 4, 2025 by Misha Desai

We’re introducing a set of new enhancements for Data Agent creators — designed to make it easier to debug, improve, and express your agent’s logic. Whether you’re tuning example queries, refining instructions, or validating performance, these updates make it faster to iterate and deliver high-quality experiences to your users. New Debugging Tools View referenced example … Continue reading “Creator Improvements in the Data Agent”

November 3, 2025 by Jovan Popovic

Data ingestion is one of the most important actions in the Data Warehouse solutions. In Microsoft Fabric Data Warehouse, the OPENROWSET function provides a powerful and flexible way to read data from files stored in Fabric OneLake or external Azure Storage accounts. Whether you’re working with Parquet, CSV, TSV, or JSONL files, the OPENROWSET function … Continue reading “Ingest files into your Fabric Data Warehouse using the OPENROWSET function”