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.
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.
The Fibonacci sequence is a series of numbers in which each number equals the sum of the two that precede it. For example, 0, 1, 1, 2, 3, 5, 8, 13, 21 and so on.
Every data scientist should know how to form clusters in Python since it’s a key analytical technique in a number of industries. Here’s a guide to getting started.
