Description
Who it’s for: Managers, owners and teams working with AI who want the whole picture of how accurate a prediction model is, not one number at a time.
What’s in the box: season 11 of the AI for Business series, five courses in order.
- Accuracy: How often is the model right, and what does that hide?
- Precision: When the model raises a flag, how often is it right?
- Recall: How much of the real fraud does the model catch?
- F1 score: Which model is better, once both kinds of error count?
- Expected error cost per 1,000 decisions: What do the model’s mistakes cost, in money?
How it works: each course is a micro course of about 30 minutes with its own film, lesson, decision, practice tools and boardroom. Finish all five for the season certificate.
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