During this session, Alice Zhao will share anecdotes that have led to some surprising findings.

In this session, we will discuss how recipe kit delivery company Gousto is using Data Science to offer meaningful choice to our customers.

This session will explore fears around the use of data and how strategic data governance can give people the confidence to be curious and explore data.

Day 1 Speaker Q&A with Emily Schlesinger, Nicole Alexander, and Katie Sass-Schafer at the 2019 Women in Analytics Conference.

Day 2 Speaker Q&A with Amanda Gadrow and Jennifer Heider at the 2019 Women in Analytics Conference.

Learn how to work with compute targets and environments in the Azure Machine Learning workspace.

Learn how to work with compute targets in Azure Machine Learning. Compute targets allow you to run your machine learning workloads. Explore how and when you can use a compute instance or compute cluster.

Learn how to work with data in Azure Machine Learning. Whether you want to access data in notebooks or scripts, you can read data directly, through datastores, or data assets.

Tables in a Microsoft Fabric lakehouse are based on the Delta Lake storage format commonly used in Apache Spark. By using the enhanced capabilities of delta tables, you can create advanced analytics solutions.

Learn how to use environments in Azure Machine Learning to run scripts on any compute target.

Learn how to train, test, and deploy a machine learning model by using environments as part of your machine learning operations (MLOps) strategy.

Explore the use of generative artificial intelligence (AI) models for natural language processing (NLP) in Azure Machine Learning.