Metrics layer is the rising “missing component” of the modern data stack. I dive into functionalities provided by 10 prominent players in the space and contrast them with a player no one talks about: Microsoft Power BI.
Last semester, I learned about Gaussian Processes. They seemed really intriguing at the first glance, and it turned out they are even more intriguing as you dig deeper. This post is an application-oriented intro to Gaussian Processes. I’ll cover GP regressions, forecasting for time series and usage of GPs in bayesian optimization among other things.
I built a practical intro guide to wavelets and discrete wavelet transformation for data scientists. Welcome to magic!