NBA is all about the playoffs for me. That's when the intensity goes up in every game. I have the NBA League Pas thru YouTube T.V. because I like to watch every Lakers game even before DK was drafted.I just can't get excited about watching 80 games a year. Way too many. Same with baseball, it's just too many.
Ehhh, that's a popular narrative but the last 10 World Series were won by 8 different teams. Its not as simple as buying a championship, as people like to say.Why not both?
But in all honesty the way baseball is being run right now with superteams no one has a chance of competing against would it even be successful?
Serious question, I don't know the answer
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I loooove me some pro basketball!!
Courting baseball! But let's go get basketball! For the people!!View attachment 718442
I just can't get excited about watching 80 games a year. Way too many. Same with baseball, it's just too many.
Yeah, but the Royals lost the World Series with those guys before they won it the next year.Now you know that Kansas City bought those players in 2015 to win WS same for the Nationals a few years ago..
Machine learning. Human refs would need to teach it what is, say, an acceptable tug vs a hold. Then teach it a million times over until it calls it them far better than any human ever will. Once it's proven, then you release it.How are computers going to call fouls?....how can they make judgement calls?
I'll give you ball spots and what-not...but I don't trust that anymore than humans.
Machine learning is technically structured data and this would be unstructured, and that would require refs to all agree on the difference between a tug and a hold, which they don't; but your point is valid. I think in our lifetime we could see some AI assist that would drastically help though.Machine learning. Human refs would need to teach it what is, say, an acceptable tug vs a hold. Then teach it a million times over until it calls it them far better than any human ever will. Once it's proven, then you release it.
Will take time and may be incremental.
I've already seen it figure out baseball calls (steal calls from 3rd base coaches, for example) where not every swipe across the chest or hat tug is the same from every person, but it can discern.Machine learning is technically structured data and this would be unstructured, and that would require refs to all agree on the difference between a tug and a hold, which they don't; but your point is valid. I think in our lifetime we could see some AI assist that would drastically help though.
Still, I think we're a long, long way away from being able to take into account all the hundreds or maybe thousands of different variables the human brain processes unconsciously, some quant some qual, needed to make judgment calls like that.