Realizing you’re privileged is uncomfortable. It’s like understanding you can have a cake and eat it, too, except you never asked for the damn cake and you now realize most people aren’t as lucky as you are.
Gaussian Processes: a versatile data science method that packs infinite dimensions
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.
An interactive introduction to wavelets and discrete wavelet transformation for data scientists
I built a practical intro guide to wavelets and discrete wavelet transformation for data scientists. Welcome to magic!