In the big data arms race, companies might be tempted to invest heavily in sophisticated predictive models. But when it comes to forecasting, bigger isn’t always better.
Data analysts should work with data to derive insights for a business, but too often they spend most of their time on prepwork. Here’s how you can fix that problem.
Database normalization ensures we’ve conceptually organized our data in a way that makes the most sense given the data’s attributes and the overall data model. Here’s how it works.
We use cluster analysis in machine learning, image analysis, data mining and pattern recognition. Here’s how it works and when you’ll find it most useful.
