by creating models from learning from large amounts of training data.
Similar techniques could be used to analyze behavior of programs,
doing meta-analysis of results of running such programs.
Those results could be used for selecting best-match programs for various situations.
podcast interview:
Introducing model-based thinking into AI systems - O'Reilly Media
from MIT labs
Get the Data Newsletter
04 AMPLab and Some Recent Trends in Data Ben Lorica - YouTube
Automatic Statistician (meta-programming without AI)
![](https://www.automaticstatistician.com/static/images/reports.png)
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