How to Use Azure ML Service to Build a FastAI Model
Jon Wood shows how to use the FastAI framework to be able to quickly create an image classification model. Data – https://www.kaggle.com/datasets/imsparsh/flowers-dataset FastAI – https://www.fast.ai/
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AzureML Registries and Azure Multivariate Anomaly Detection
AzureML Registries are organization-wide repositories of Machine Learning assets such as Models, Environments and Components. Registries promote collaboration among data science teams by enabling discovery and reuse of ML models and related assets, improving productivity. Manoj Bableshwar is here to show us a demo! Next up, as Multivariate anomaly detection goes from public preview to […]
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High-performance Serving with Triton Inference Server in AzureML
On today’s episode of the AI Show, Shivani Santosh Sambare is back to showcase high-performance serving with Triton Inference Server in AzureML.
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OSS Framework Support in Azure Machine Learning Service
Learn how Azure ML supports Open Source ML Frameworks and MLflow in AzureML. Take a walk through a ScikitLearn and Pytorch example to show the built in support for ML frameworks. Learn More: Azure ML Examples https://aka.ms/AIShow/AzureMLExamples Azure ML Curated Environments https://aka.ms/AIShow/AMLCuratedEnvironments Track and Monitor ML Flow https://aka.ms/AIShow/TrackandMonitorMLFlow Create a Free account (Azure) https://aka.ms/aishow-seth-azurefree Deep […]
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