TechTowards Data Scienceabout 1 hour ago
Retesting Assumptions in Data Science Models
1 min read
The article examines how successful data science models can become entrenched processes, making their underlying assumptions difficult to challenge. It uses Kodak and Moody's as examples of organizations that failed to adapt their core assumptions despite changing conditions.
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