The final results of a data scientist’s analysis must be easy enough for all invested stakeholders to understand — especially those working outside of IT. A data scientist’s approach to data ...

SEE: Data Governance Checklist (TechRepublic Premium) While moving through the various steps in the analysis process, data scientists can use the following techniques: The primary goal of machine ...

Can you please explain the final What-If Analysis tool: Data Table? A. Microsoft Excel’s What-If Analysis is a powerful feature that allows you to explore various scenarios and outcomes by modifying ...

Preparing real-world data for AI training is a labor-intensive process, often involving large-scale collection, tagging and validation. This can be time- ...

Such high-dimensionality makes visualization of samples difficult and limits simple exploration of the data. Principal component analysis (PCA) is a mathematical algorithm that reduces the ...

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...