25 Oct When using different data algorithms, why is it fundamentally important to understand why they are being used? If
- 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?
