These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...

Dr. James McCaffrey of Microsoft Research uses a full code sample and screenshots to demonstrate how to create a naive Bayes classification system when the predictor values are numeric, using the C# ...

Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician (CMT). Vikki Velasquez is a researcher and writer who has managed, coordinated, and ...

What are the differences between gathering and analyzing quantitative and qualitative information? Better yet, how can you develop these skills and use this knowledge in a real-world job? Quantitative ...

Clustering non-numeric -- or categorial -- data is surprisingly difficult, but it's explained here by resident data scientist Dr. James McCaffrey of Microsoft Research, who provides all the code you ...

I've written about numerical calculations before, but perhaps they weren't too inspiring. What are numerical calculations? Here is my own definition. Numerical Calculations (numerical methods, ...

Gathering and entering numbers on a computer is one of the most laborious aspects of data management. Ten-key data entry expedites this process, focusing only on the number keys, 0 through 9, which ...

Whether you work for a small mom-and-pop operation or belong to a giant, multinational firm, spreadsheets are likely to be an invaluable tool for your business. All companies manage various sorts of ...

According to a 2020 Microstrategy survey, 94% of enterprises report data and data analytics are crucial to their growth strategy. And yet, surprisingly, as much as 73% of the data that enterprises ...

In motorsports, success hinges on decisions rooted in data, from tire degradation models to fuel load calculations.