Ask the Expert: Understand the ML Process and Embed Models into Apps

From the creator

Machine Learning is becoming an important workload, and developers are increasingly being tasked with moving the models to production. We’ll walk you through the process of building machine learning models and show you how Azure ML enables tools like VS Code, to build ML models. Join us to discuss how you can augment your data science teams to operationalize these machine learning models within your apps and incorporate the right DevOps practices for machine learning, often referred to as MLOps. Check out more on Microsoft Learn: https://aka.ms/MSLearn-Build Jump to: 00:00 - Introduction 01:23 - Understand the ML Process and Embed Models into Apps 03:52 - Machine Learning Overview 05:46 - Geometric Brownian motion (GBM) 11:33 - PyTorch Lightning 14:56 - Building a model with PyTorch Lightning 19:02 - Predicting your model 21:25 - MLOps 23:38 - How do you integrate this code in DevOps or Kubernetes? 25:22 - How do you get the model into your app? 28:17 - How can I learn more? Is there a community I can be a part of? 28:57 - Closing Notes

Published 2021-06-15 · Watch on YouTube ↗
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