I used to work for a radio station so I've actually worked with a lot of bands and artists, but funny enough mine is probably also Jimmy Eat World. We put on a contest to play ping pong backstage with them before the show. Stocked with beer, food, etc. I was supposed to help run the event, but the winners didn't show. So the staff got to take advantage and we got to hang out with them for a good while. I miss that job lol

Hey y'all! I'm a web developer working on a personal project to automate one of my fantasy baseball leagues. Need to do stuff like rank players, decide who to keep on my team, and decide who to play that day based on a bunch of player and game stats. I have borderline no experience with machine learning, but this seems like an applicable scenario, right? I'm sure it'll take me a long time, but can anyone point me to some good resources to learn about the subject? Even if they're just building blocks before learning how to actually do it.

My current idea is to score every player like 0-1 or 0-100 or whatever, then score each matchup, and compare the two to decide for the day my best options. But I'm still new to this kind of work so I'm sure there's a better more efficient way. Thanks for the help!