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NMCS4ALL: Machine Learning (full version) 

Dave Ackley
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An introduction to concepts of machine learning, with demos. The New Mexico CS for All project is teaching computational thinking and programming. An 18 minute edited version is at • NMCS4ALL: Machine Lear...
Production supported by the National Science Foundation, award # CNS 1240992

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30 июн 2024

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Комментарии : 25   
@rock00dom
@rock00dom 8 лет назад
Aw man, your vids are so cool and easy to understand! It's sad that I've only discovered this channel just now!
@alxcnwy
@alxcnwy 9 лет назад
Some of the best compsci vids I've ever seen, thank you so much! :)
@DaveAckley
@DaveAckley 9 лет назад
Alex Conway Thanks for the comment!
@tijssens
@tijssens 9 лет назад
you are a tremendous teacher...this channel's gonna be big
@DaveAckley
@DaveAckley 9 лет назад
Mattijs Van De Walle We'll see! Thanks for the comment.
@stephanusschoeman6226
@stephanusschoeman6226 9 лет назад
Wow, this guy actually looks and sounds more natural at a speed of 1.25! Love this topic and this video!! Thanks dude
@aliceoculus5593
@aliceoculus5593 9 лет назад
You sir, are amazing. Great Video! :)
@marianopanski823
@marianopanski823 8 лет назад
Great learning video, thanks for your effort :)
@Unhacker
@Unhacker 9 лет назад
Excellent, all of these vids are excellent man, thanks!
@MrJoerT
@MrJoerT 9 лет назад
Amazing stuff. Very well explained.
@georgeroth
@georgeroth 8 лет назад
Your work is super interesting, but I would like to give a huge positive cookie for your presentation style too. I have watched a lot of your videos by now and besides the actual topics that you cover, I have learnt a lot in how to present ideas in a calm, meaningful, reserved but still super interesting and fun way. You have a new... fan? Something. Best of luck with your work Dave!
@DaveAckley
@DaveAckley 8 лет назад
Yum yum tasty! Thanks for the note.
@meepmeep4931
@meepmeep4931 10 лет назад
Fun video, I enjoyed this a lot!
@gcgrabodan
@gcgrabodan 8 лет назад
Is there a way of determining how many layers of a neural network are neccessary for it to abstract/generalize a concept? E.g. if we play chess: Obviously as you sayed one layer would not be enough. But can we know or proof how many layers I need such that the network develops concepts such as control of the center or block a passed pawn etc?
@DaveAckley
@DaveAckley 8 лет назад
+gcgrabodan There's rarely an exact number of layers implied by a problem, and the details tend to really matter---more layers can sometimes even make things worse. For now anyway, neural net design is still as much art as science.
@heylookimgaming4656
@heylookimgaming4656 7 лет назад
what does the y axis of the beta distribution graph represent?
@AI_Life_HacksxXx
@AI_Life_HacksxXx Год назад
Wow an awesome explanation you are good positive reinforcement ok no
@DaveAckley
@DaveAckley Год назад
😅
@Estlib
@Estlib 8 лет назад
ads will get nothing but negative cookies from me >:C
@DaveAckley
@DaveAckley 8 лет назад
+Estlib Anon The Breakfast of Champions! Oh wait.
@RRRooooDDDD
@RRRooooDDDD 10 лет назад
cool presentation! i really wish you were my teacher...
@trejohnson7677
@trejohnson7677 2 года назад
We not going to just gloss over that shroom quip.
@MouseGoat
@MouseGoat 7 лет назад
So what you saying is..... Bush is a cat robot, got it! :D
@AuddityHipHop
@AuddityHipHop 2 года назад
anyone else think of plumbus when he said fleeb and gloob?
@rewritethestars..5908
@rewritethestars..5908 4 года назад
Can we talk personally...?
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