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Practical Software Project Improvements using Actionable Predictive Models and SolutionsMartin ShepperdBrunel Uni, UK Actionable -> causality Machine learning ≠ magic 1 Martin Shepperd
Casuality requires … X covaries with Y X has temporal precedence No more plausible competing explanations ✓ ✓ ✗ 2 Martin Shepperd
The Machine Learnerotron(Pat. Pending)! 3 Martin Shepperd numbers answers

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Promise 2011: "Practical Software Project Improvements using Actionable Predictive Models"

  • 1. Practical Software Project Improvements using Actionable Predictive Models and SolutionsMartin ShepperdBrunel Uni, UK Actionable -> causality Machine learning ≠ magic 1 Martin Shepperd
  • 2. Casuality requires … X covaries with Y X has temporal precedence No more plausible competing explanations ✓ ✓ ✗ 2 Martin Shepperd
  • 3. The Machine Learnerotron(Pat. Pending)! 3 Martin Shepperd numbers answers