all AI news
Exploration of CDFs: Their Applications in Data Science
Towards AI - Medium pub.towardsai.net
Introduction to CDFs
Cumulative Distribution Function (CDF) is a function that indicates the probability that a random variable $X$ takes on a value less than or equal to a specific value $x$. It’s the cumulative probability associated with a distribution.
Use Case of using CDFs: Analyzing Customer Wait Times to Optimize Service Efficiency
The use of CDFs in this example is to understand the overall wait time experience of customers. It allows business owners to specify …
applications case customer data data analysis data science distribution equal exploration function generated image probability probability-distributions probability theory random science value wait times