Completed
[] Step 2: Upload the baseline data set into the project
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Classroom Contents
Obtaining New Insights on Model Behavior with Fiddler - MLOps Meetup #110
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- 1 [] Introduction to Danny Brock
- 2 [] We're streaming live on Gradual and LinkedIn!
- 3 [] Fiddler AI Overview
- 4 [] AI is a critical part of modern business
- 5 [] AI touches your entire organization
- 6 [] The Fiddler mission
- 7 [] How can Fiddler make a difference?
- 8 [] Model Performance Management
- 9 [] The Comprehensive Solution for the ML Lifecycle
- 10 [] The Fiddler Value
- 11 [] Frequently heard challenges
- 12 [] Fiddler drives three positive business outcomes
- 13 [] Under the hood
- 14 [] A deep and versatile tech stack
- 15 [] Seamless UX
- 16 [] Getting started with Fiddler
- 17 [] Demo
- 18 [] Build trust into AI
- 19 [] Simple monitoring quick start
- 20 [] Fiddler simple monitoring quick start guide
- 21 [] Recap of simple monitoring
- 22 [] Step 1: Create a new project in the environment
- 23 [] Step 2: Upload the baseline data set into the project
- 24 [] Step 3: Add information about the model
- 25 [] Backfill ground truth and monitor in a synchronous way
- 26 [] Step 4: Publish production events
- 27 [] Call publish event batch
- 28 [] Not found error
- 29 [] Run without storing data at Fiddler
- 30 [] Integration support of Fiddler
