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.

Speaker

Amy Boyd is a Cloud Advocate at Microsoft, specialising in Data Science and Machine Learning. Her role as a Cloud Advocate is to help developers to engage with Azure and specifically the Azure AI Platform

Amy Boyd's Sessions

Taking Models to the Next Level with Azure Machine Learning

Start Building Machine Learning Models Faster than You Think

Azure Machine Learning: Applying Software Engineering to ML

The Intelligence of your Things