22-25 April 2026 
SQLBits 2020
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
Tailwind Traders’ data science team uses natural language processing (NLP), and recently discovered how to fine-tune and build baseline models with Automated ML.
In this session, you’ll learn what Automated ML is and why it’s so powerful, then dive into how to improve upon baseline models, using examples from the NLP best practices repository. We’ll highlight Azure Machine Learning key features and how you can apply them to your organization, including low priority compute instances, distributed training with auto scale, hyperparameter optimization, collaboration and logging.
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.