22-25 April 2026 
SQLBits 2020
Start Building Machine Learning Models Faster than You Think
Using custom machine learning models to fix inventory issues without changing a development life cycle. In this session, you’ll learn about the data science process and get an intro to Azure ML designer.
Tailwind Traders uses custom machine learning models to fix their inventory issues – without changing their Software Development Life Cycle! How? Azure Machine Learning Designer. In this session, you’ll learn the data science process that Tailwind Traders’ uses and get an introduction to Azure Machine Learning Designer. You’ll see how to find, import, and prepare data, select a machine learning algorithm, train and test the model, and deploy a complete model to an API. Get the tips, best practices, and resources you and your development team need to continue your machine learning journey, build your first model, and more.
Speakers
Amy Boyd's previous sessions
Taking Models to the Next Level with Azure Machine Learning
Learn how Tailwind Traders data science team uses Azure Machine Learning features and services to create bespoke open source NLP models and optimise them. Includes Automated ML, Azure ML SDK and Hyperparameter tuning
Start Building Machine Learning Models Faster than You Think
Using custom machine learning models to fix inventory issues without changing a development life cycle. In this session, you’ll learn about the data science process and get an intro to Azure ML designer.
Azure Machine Learning: Applying Software Engineering to ML
Azure Machine Learning is a platform for developing and deploying your machine learning models on Azure. We will look at the life cycle of ML projects: from data, to model, to consumption. This will include Automated Machine Learning capabilities.