Courses/Analytical Reasoning/Machine Learning for Executive Decision-Makers
Advanced6 lessons • 6h 0m

Machine Learning for Executive Decision-Makers

Not how to code ML—how to deploy it strategically. Model selection, validation, fairness, and the economic case for automation.

This is not a course on building models. It's a course on *governing* ML systems. You'll learn to evaluate ML proposals from your data science team: When is a 0.85 AUC good enough? What's the ROI of improved precision? How do you audit for bias? By the end, you'll be the executive who asks the questions data scientists dread—because they reveal whether the model will actually work in production.
Your Progress0%
Skills you'll master:
Model EvaluationML EconomicsFairness AuditingTechnical Due Diligence
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⚠️ Prerequisites

Syllabus

0 of 6 lessons complete
1
The ML Value Chain: From Problem to Production
📖Reading•35m
2
Evaluation Metrics That Actually Matter
💻Interactive Lab•50m
3
The Economics of Prediction Machines
📊Case Study•60m
4
Fairness, Accountability, and Transparency
🎮Simulation•45m
5
Technical Due Diligence for ML Acquisitions
📊Case Study•75m
6
Building an ML-Ready Organization
📖Reading•40m