Focusing on data science solutions using Microsoft Fabric machine; from building and deploying predictive models with dedicated built-in tools, to using the Python SDK and other open-source frameworks.
In this demo, we will:
• Get on board with designing and preparing end-to-end Machine Learning solutions using Microsoft Fabric
• Getting and exploring data in Fabric
• Working with notebooks using Python and Spark
• Explore, train, and tune predictive machine-learning models
• Learn how to prepare your models for deployment by creating pipelines and using MLFlow
• Deploy, monitor, and retrain your models
All materials will be available on GitHub.
Tomaž Kaštrun is a SQL Server developer and data scientist with more than 15 years of experience in business warehousing, development, ETL, database administration, and query tuning. He holds over 15 years of experience in data analysis, data mining, statistical research, and machine learning. He is a Microsoft SQL Server MVP for the data platform and has been working with Microsoft SQL Server since version 2000. He is a blogger, author of many articles, and a frequent speaker at the community and Microsoft events. He is an avid coffee drinker who is passionate about fixed-gear bikes.
