Machine Learning

Two Microsoft experts teach you how to get started with Microsoft Fabric. You'll learn about common use cases, how to build Fabric into your data workflows, and get tips on how to be productive with Fabric.

Shingai Manjengwa, the Head of AI Education at Theoriq (ChainML Labs), will discuss the principles of responsible AI and demonstrate how they may be implemented in a world with multiple collaborating agents.

Michelle Conway, Lead Data Scientist at Lloyds Banking Group, will walk you through a simple machine learning example on banking data, including feature engineering, training a model, making predictions, and assessing model performance.

In this session Francesca Donadoni, a Curriculum Manager at DataCamp, shows you how to make use of ChatGPT to implement a simple machine learning workflow.

Learn to use MLflow to track and package a machine learning model, and see the process for getting models into production.

In this webinar, you'll learn how to build your own diffuser model from scratch!

In this webinar, you'll use MLflow to manage a machine learning experiment pipeline. The session will cover model evaluation, hyperparameter tuning, and MLOps strategies, using a London weather dataset.

Learn how to manage the features for your machine learning models, to save you time and improve the consistency of your models.

This webinar shows you how to get started with experiment tracking, a pivotal yet frequently overlooked aspect of the data science lifecycle.