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When using different data algorithms, why is it fundamentally important to understand why they are being used? If there are significant differences in the data
- When using different data algorithms, why is it fundamentally important to understand why they are being used?
- If there are significant differences in the data output, how can this happen and why is it important to note the differences?
- Who should determine which algorithm is "right" and the one to keep? Why?
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Strategic Management Text And Cases
Authors: Gregory Dess , Gerry McNamara , Alan Eisner , Steve Sauerwald
11th Edition
1264124325, 978-1264124329
