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Articles tagged 'data-science'

Calculating the characteristic function

Calculating the characteristic function

The Fourier transform of the probability density function is sometimes used to derive certain concepts in Statistics. In this post we describe what it is, its use to describe kernel density estimators and how to calculate it and plot it in Python.
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Density estimation

Density estimation

Being able to measure the degree of randomness (or of our ignorance) on a bunch of values is a critical tool for data science. In this post we explain the basics and how we are applying this to grab early insights from electricity consumption data.
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Hours of operation and the Gibb's phenomenon

Hours of operation and the Gibb's phenomenon

There are many ways to extract insights out of time series data. In this series of posts we explore some of the mathematical foundations in dealing with an apparently simple but, we will see, challenging task: based on the power electricity profile of a business, determine its hours of operation.
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