In this video, you’ll learn how to do exactly that using Watson OpenScale. in 20ish minutes I’ll walk you through how to leverage Watson OpenScale for machine learning explainability, debiasing and drift detection.

In this video you’ll learn how to:

1. Setting up Watson OpenScale
2. Viewing Model Performance Metrics like Accuracy, AUC, Precision
3. Debiasing Machine Learning Predictions
4. Explaining and Interpret Machine Learning Model Predictions

Chapters
0:00 - Start
0:27 - Explainer
1:26 - How it Works
2:03 - Setup Watson OpenScale
6:21 - Evaluating Model Performance
12:30 - Mitigating and Detecting Bias in ML Models
14:39 - Explaining and Interpreting Predictions
17:09 - What-If Scenario Modelling using OpenScale
19:23 - Tracking Model Quality
20:19 - Evaluating Model and Data Drift
22:47 - Wrap Up

Links Mentioned

IBM Cloud Register: https://cloud.ibm.com/registration

Watson OpenScale: https://cloud.ibm.com/catalog/service…

Subscribe: https://www.youtube.com/c/NicholasRenotte/featured

#machine-learning