Episode
Train, Debug and Deploy Responsible AI Models with Azure Machine Learning (Part 1)
with Korey Stegared-Pace, Ruth Yakubu
You’ll learn how to train a model in the cloud, and how to ensure it performs responsibly. We’ll be using the UCI hospital diabetes dataset to train a classification model using the Scikit-Learn framework. The model will predict whether or not a diabetic patient will be readmitted back to a hospital within 30 days of being discharged.
Chapters
- 00:00 - Intro
- 02:45 - What is making AI real to you?
- 05:08 - Generative AI for beginners
- 06:27 - Responsible AI dashboard
- 09:29 - Responsible AI principles
- 19:00 - Enabling model debugging and decision-making
- 24:18 - Gaps in model error identification
- 26:46 - Gaps in finding data bias
- 28:53 - Gaps in model explanability
- 31:34 - Coding demo
- 50:00 - Join us for part 2
Related episodes
You’ll learn how to train a model in the cloud, and how to ensure it performs responsibly. We’ll be using the UCI hospital diabetes dataset to train a classification model using the Scikit-Learn framework. The model will predict whether or not a diabetic patient will be readmitted back to a hospital within 30 days of being discharged.
Chapters
- 00:00 - Intro
- 02:45 - What is making AI real to you?
- 05:08 - Generative AI for beginners
- 06:27 - Responsible AI dashboard
- 09:29 - Responsible AI principles
- 19:00 - Enabling model debugging and decision-making
- 24:18 - Gaps in model error identification
- 26:46 - Gaps in finding data bias
- 28:53 - Gaps in model explanability
- 31:34 - Coding demo
- 50:00 - Join us for part 2
Related episodes
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