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Coach Kelly on A.I.'s
Posted on 7/17/23 at 4:05 pm
Posted on 7/17/23 at 4:05 pm
He said that "we are starting to look into it. Developing an A.I. model that can best fits the type of player we need at each position". i.e. input all the data that best describes a DE & then recruit players that best fits that model. Taking " Billy Bob" & measuring him against the DE model. Not sure how you input a measurement of " a chest".
This post was edited on 7/17/23 at 4:10 pm
6
Posted on 7/17/23 at 4:27 pm to Keltic Tiger
Wrong regime
Posted on 7/17/23 at 4:33 pm to Keltic Tiger
AI has many potential applications assuming it does not eliminate us. It could be used to develop a game plan and even play calling. It will be used to scout opponents if it has not been done already. The list is limited only by the users imagination.
Posted on 7/17/23 at 4:34 pm to Keltic Tiger
being the developer in charge of designing the algorithm to target ideal recruits based on position is a dream job for anyone who works in analytics
curious as to how much more data the staff is privy to on recruits outside of what is publicly available
curious as to how much more data the staff is privy to on recruits outside of what is publicly available
Posted on 7/17/23 at 5:08 pm to Keltic Tiger
Coach O also commented on AI:
“We walla wanna gumba to morda wond dey football. Dat wenovalla dey gonna tay AI moat take dat some dere.”
“Geaux Tigas!”
“We walla wanna gumba to morda wond dey football. Dat wenovalla dey gonna tay AI moat take dat some dere.”
“Geaux Tigas!”
Posted on 7/17/23 at 5:11 pm to soccerfüt
quote:
Coach O also commented on AI: “We walla wanna gumba to morda wond dey football. Dat wenovalla dey gonna tay AI moat take dat some dere.” “Geaux Tigas!”
Couldn’t help but laugh at this lmao
Posted on 7/17/23 at 6:43 pm to LSUStar
quote:
AI has many potential applications assuming it does not eliminate us
You’re on the right track. The stock market has been on the same algorithm since its inception. It’s been run on artificial intelligence for a long time. Let’s just say that AI isn’t your friend and leave it at that.
Posted on 7/17/23 at 7:06 pm to soccerfüt
Les Miles on AI:
“He did not have the want to talk about practice.”
“He did not have the want to talk about practice.”
Posted on 7/17/23 at 8:40 pm to Oizers
Nah it’s “ the A.I. never presented itself the opportunity to engage or help In practice”
Posted on 7/17/23 at 8:59 pm to LSUStar
quote:
AI has many potential applications assuming it does not eliminate us. It could be used to develop a game plan and even play calling. It will be used to scout opponents if it has not been done already. The list is limited only by the users imagination.
While I agree it has its place, you are still dealing with motivations and actions of 85 different 18-22 yr old kids. While there is enough group think for it be effective on one level, unless we are getting into the realm of chip implantation to measure emotional sub-concious level shite, it will always be limited.
Posted on 7/17/23 at 10:58 pm to soccerfüt
quote:
Coach O also commented on AI:
We gonna develop an AI that tells us da best time to pick tomatahs to put in dat gumbo T-baw
Posted on 7/17/23 at 11:52 pm to mdomingue
Coach O also commented on AI:
AI will help us run da’ Joe Brady offense
AI will help us run da’ Joe Brady offense
Posted on 7/18/23 at 7:14 am to Cheesy Beaver
quote:
being the developer in charge of designing the algorithm to target ideal recruits based on position is a dream job for anyone who works in analytics
The majority of “computer nerds” don’t care for sports. My current data guy went to Bama and was there for 2 NC seasons, but you could tell him Bryant Denny was a hardware store and he couldn’t argue. But, yes, there is a segment of data analyzers who would absolutely love that gig.
Posted on 7/18/23 at 7:32 am to Cheesy Beaver
quote:
curious as to how much more data the staff is privy to on recruits outside of what is publicly available
Building a dataset seems like the hardest part, IMO. Creating predictive models from the data isn’t trivial by any means but it’s made much more difficult by the quality of data available for high school recruits.
That’s probably where AI can help the most - taking highly variable & incomplete data sources and normalizing it in a way that allows coaches to focus their evaluations on a smaller group of players.
I don’t think you get away from subjective evals, but if you can narrow the scope of those evaluations you can make your recruiting efforts much more efficient.
Posted on 7/18/23 at 7:36 am to lostinbr
Predictive is the key and main challenge. Madden programs have laid some groundwork using a rear view mirror but could be adopted. It’s a field ripe for the adoption. So many thousands of high schoolers.
Posted on 7/18/23 at 7:37 am to Keltic Tiger
quote:
i.e. input all the data that best describes a DE & then recruit players that best fits that model.
All good until we decide to just play the AI at DE.
Posted on 7/18/23 at 9:34 am to Count deMonet
quote:
The majority of “computer nerds” don’t care for sports.
go ahead and include me in the minority of "computer nerds" who care for sports and would love this gig
Posted on 7/19/23 at 2:19 pm to Basura Blanco
Nonconvex optimization machine learning would be well-suited for forecasting such behaviors. It can work with very limited input data.
Posted on 7/19/23 at 2:27 pm to Keltic Tiger
Defensive play calling
Posted on 7/19/23 at 2:27 pm to Count deMonet
quote:
The majority of “computer nerds” don’t care for sports.
This is just made up nonsense.quote:Followed up with the priceless anecdotal evidence.
My current data guy went to Bama and was there for 2 NC seasons, but you could tell him Bryant Denny was a hardware store and he couldn’t argue.
You are definitely not into data modeling, statistical analysis or computer nerdery lol.
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