Another month has passed. In these monthly posts, I won’t dive deep into every little bit of stuff that I studied during the month (that would be impossible), what I’ll try to convey the taste to increase your appetite.
I haven’t been around for the last month and a half since there are more important things in life other than a blog. Due to the situations in Turkey, which you can read more here, it was extremely hard to focus on anything other than politics or law (there is also earthquake threat) which I spent most of my time with during last month.
Other than these, I personally try to focus on Statistics nowadays which I’ll be giving more information below.
Gelman’s Regression and Other Stories (ROS)
Gelman’s ROS is the book that I’ve read a lot lately and really liked it. The book goes through Statistics but mainly from Bayesian perspective and uses simulations to facilitate understanding. The book uses R’s stanarm package but there is port of it in Python called Bambi which I already started exploring. It felt a bit counterintuitive at first but played around with it and now it makes more sense.
Generally, I have been focusing on simulations and methods related to Bayesian framework which made me dive into MCMCs a bit (just the general ones, such as Metropolis or Gibbs). Alongside that, I have developed interest in hierarchical modeling which I think about using for my basketball analytics projects.
Explainable AI
I’ve finished Molnar’s Interpretable ML a couple of months ago but he updated the book, so I have that opened in one of my tabs and will go through it soon.
Sports Analytics
I have two Shiny Apps now related to Euroleague analytics: - https://hooplytics.shinyapps.io/EL_Player_Stats - https://hooplytics.shinyapps.io/EL_Team_Stats
I wanted to include the defensive related stats but Turkey’s agenda got in the way, so I’m thinking about getting it done during May. I’ll also write a blog post (or maybe even a YT video) about how to navigate through the apps.
That’s pretty much all for now, I read/watched/listened a lot of politics and law related content but hoping to dial it down a bit to create more time for data science related topics (if Turkey allows me to focus on those things)…