Outliers deviate from the norm—significantly enough to give marketers pause. But outliers can tell us more about our data, how we gather it, and what is in it, if we examine the entire data set ...

Data analytics deals with making observations with various data sets, and trying to make sense of the data. When dealing with very large data sets, automated tools must be used to find patterns and ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Outliers have the potential to skew analysis when they aren’t properly accounted for. Addressing outliers, specifically in trade cost analysis (TCA) data, is crucial for traders because it ensures the ...

Learn advanced filtering in Excel with a criteria area, OR and AND logic, and copy results to isolate the right rows fast.

Development and Validation of a Machine Learning Approach Leveraging Real-World Clinical Narratives as a Predictor of Survival in Advanced Cancer Artificial intelligence (AI) models for medical image ...

During the Google Zeitgeist talk in 2011, the company's then chief scientist Peter Norvig said one of his most famous quotes: "We don't have better algorithms than anyone else; we just have more data.

Forbes contributors publish independent expert analyses and insights. I write about risk, readiness and resilience. Younus Al Nasser, Assistant Director-General, Smart Dubai, and Chief Executive ...