What’s new with Azure Machine Learning

From the creator

In this episode we’ll cover a quick overview of new capabilities in Azure Machine Learning like the Visual Interface for drag-n-drop machine learning and the Automated Machine Learning UI as well as our MLOps approach to productionalize machine learning from training to deployment. We’ll also quickly highlight how to prepare your data using our new integration with Azure Data Factory and even visualize results of model predictions via our integration with Power BI. Try it today for free https://aka.ms/AIShow/TryAMLToday Learn more https://aka.ms/AIShow/AMLOverview Learn more about MLOps http://aka.ms/mlops Follow Chris https://twitter.com/clauren42 00:40 – Data preparation via integration with Azure Data Factory 01:53 – Finding new data to improve your model training with Azure Open DataSets 03:00 – Drag n drop machine learning via the Visual Interface 04:10 – New Azure Machine Learning Studio UI 05:45 – Automated Machine Learning in hosted Jupyter Notebook 09:40 – Automated Machine Learning in Azure Machine Learning Studio UI 10:20 – Dataset profiling and exploration in Azure Machine Learning Studio UI 11:11 – Tensorflow deep learning model training in hosted Jupyter Notebook 13:54 – Tensorboard integration 14:20 – Automated hyperparameter sweep in Jupyter notebook 14:48 – Easily deploying models to test & production environments with Azure DevOps integration 16:45 – Integrating deployed ML models into Power BI The AI Show's Favorite links: Don't miss new episodes,

Published 2019-11-04 · Watch on YouTube ↗
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