I’m finally trying to jump on the AI train for a long ride instead of getting off at the first stop.
I’m currently creating a new fan site for Marvel Rivals (https://marvelrivals.app), and I’m trying to introduce new types of features using predictive analysis, and further, use some DL maybe to understand specific player behavior and do stuff like find cheaters. I am failing so far.
I thought it’d be easier to throw data at the magic AI monster, but it’s still garbage in -> garbage out. It makes me respect AI engineers a lot more.
I wish there was an easier way to apply AI to this kind of stuff, on the how to do better data analysis. Ideally, I’d hook up some tool to my Postgres db, which has a couple tables but everything is named appropriately and has references. Then the tool would output correlations, patterns, stuff people would find useful and interesting. Instead, right now, I think I have to make those guesses and then build models that will either support my hypothesis or reject it, but I don’t know ahead of time and it relies on my gut feelings.
I’m currently creating a new fan site for Marvel Rivals (https://marvelrivals.app), and I’m trying to introduce new types of features using predictive analysis, and further, use some DL maybe to understand specific player behavior and do stuff like find cheaters. I am failing so far.
I thought it’d be easier to throw data at the magic AI monster, but it’s still garbage in -> garbage out. It makes me respect AI engineers a lot more.
I wish there was an easier way to apply AI to this kind of stuff, on the how to do better data analysis. Ideally, I’d hook up some tool to my Postgres db, which has a couple tables but everything is named appropriately and has references. Then the tool would output correlations, patterns, stuff people would find useful and interesting. Instead, right now, I think I have to make those guesses and then build models that will either support my hypothesis or reject it, but I don’t know ahead of time and it relies on my gut feelings.