Cover image via wikihow.com/Read-a-Scientific-Paper Reddit is a treasure trove of random stuff. However, every now and then, in the better groups, quite valuable topics pop up. Here’s one I came across on r/statistics: Particularly the advice by grandzooby seemed worth a like, and he linked to several useful resources which I’ve summarized for you below….

# Tag: coursera

## Free Python Tutorials & Courses, by CourseDuck

CourseDuck founder Michael Kuhlman was nice enough to point me to their overview of curated (&free!) Python courses and tutorials. This overview is curated in the sense that all resources are rated by CourseDuck’s users. These ratings seem quite reliable, at least, I personally enjoyed their top-3 resources sometime the past years: University of Michigan…

## Gradient Descent 101

Gradient Descent is, in essence, a simple optimization algorithm. It seeks to find the gradient of a linear slope, by which the resulting linear line best fits the observed data, resulting in the smallest or lowest error(s). It isĀ THEĀ inner working of the linear functions we get taught in university statistics courses, however, many of us…