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 ...

and anomalies in large data sets for data analysis. This helps turn raw data into actionable information to make informed business decisions, predict outcomes, and develop business strategies.

IBM said that it has acquired Seek AI, an AI platform that allows users to ask questions about enterprise data using natural ...

Customer data comes from a variety of sources ... Careful collection and analysis leads to a more complete picture. “I think most companies have a natural reaction to attach themselves ...

Data science is a method to glean insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning (ML). For most organizations, it’s ...

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 ...

Combining quantitative and qualitative data analysis can give students of science, technology, engineering and mathematics, also known as STEM, a potential advantage. "Complex problems often require a ...