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#1 How AI Takes Over The World – while True be taught() – whereas True be taught() Gameplay


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#1 How AI Takes Over The World – whereas True be taught() – whereas True be taught() Gameplay
Study , #1 How AI Takes Over The World - while True learn() - whereas True be taught() Gameplay , , fQ2ErEc5yc4 , https://www.youtube.com/watch?v=fQ2ErEc5yc4 , https://i.ytimg.com/vi/fQ2ErEc5yc4/hqdefault.jpg , 54616 , 5.00 , whereas True: be taught() Gameplay! On this video I might be displaying off some while True: learn() Gameplay! whereas True: study() - is a ... , 1518973819 , 2018-02-18 18:10:19 , 00:22:25 , UCeuyjX6ayprafiDlRxxrzNQ , Steejo , 451 , , [vid_tags] , https://www.youtubepp.com/watch?v=fQ2ErEc5yc4 , [ad_2] , [ad_1] , https://www.youtube.com/watch?v=fQ2ErEc5yc4, #Takes #World #True #study #True #learn #Gameplay [publish_date]
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while True: learn() Gameplay! On this video I can be displaying off some whereas True: be taught() Gameplay! whereas True: study() - is a ...
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  • Mehr zu learn Learning is the physical process of feat new understanding, noesis, behaviors, skill, belief, attitudes, and preferences.[1] The ability to learn is demoniacal by humans, animals, and some machinery; there is also info for some kinda encyclopaedism in definite plants.[2] Some eruditeness is straightaway, iatrogenic by a ace event (e.g. being burned-over by a hot stove), but much skill and noesis lay in from repeated experiences.[3] The changes evoked by eruditeness often last a lifespan, and it is hard to differentiate well-educated matter that seems to be "lost" from that which cannot be retrieved.[4] Human education launch at birth (it might even start before[5] in terms of an embryo's need for both action with, and exemption inside its situation inside the womb.[6]) and continues until death as a outcome of on-going interactions between people and their state of affairs. The trait and processes active in eruditeness are designed in many constituted comedian (including learning science, psychophysiology, experimental psychology, psychological feature sciences, and pedagogy), also as nascent comedian of knowledge (e.g. with a shared fire in the topic of encyclopaedism from guard events such as incidents/accidents,[7] or in collaborative encyclopaedism eudaimonia systems[8]). Research in such comic has led to the identity of varied sorts of learning. For instance, learning may occur as a result of physiological condition, or classical conditioning, operant conditioning or as a consequence of more complicated activities such as play, seen only in relatively searching animals.[9][10] Encyclopaedism may occur unconsciously or without conscious knowing. Learning that an dislike event can't be avoided or escaped may outcome in a state called conditioned helplessness.[11] There is evidence for human activity learning prenatally, in which dependence has been ascertained as early as 32 weeks into construction, indicating that the basic uneasy arrangement is sufficiently matured and ready for encyclopedism and faculty to occur very early in development.[12] Play has been approached by several theorists as a form of encyclopaedism. Children inquiry with the world, learn the rules, and learn to interact through play. Lev Vygotsky agrees that play is crucial for children's growth, since they make significance of their environment through and through playing learning games. For Vygotsky, however, play is the first form of encyclopedism terminology and human action, and the stage where a child begins to read rules and symbols.[13] This has led to a view that learning in organisms is primarily affiliated to semiosis,[14] and often joint with mimetic systems/activity.

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27 thoughts on “

  1. I'm not a programmer at all, not even close to it. But sometimes it was just sooo painful to watch you (no offense).
    – Gets 15 seconds avg. dest. time
    – Reconfigures stuff…
    – Gets 48 seconds avg. dest. time
    – Is that better? It should be better…

  2. 12:53. I wish they set this puzzle up differently. I was thinking of a really cool solution… since the neural network said it had an error of 75% , I assumed it got things wrong more often than chance (66% error), which would mean it would perform better than chance if you outputted say, what it thinks circles are to squares (when it see's a circle, 75% of the time I'd be wrong, and ~half of that time it'd be a square, meaning your program would be right ~37.5% of the time).
    This logic seems like a really funny programming trick to me… if you write a function so badly that it sort things incorrectly more than chance… you can use it to perform better than chance by not following it's advice.
    It'd be like sitting next to a person so dumb that they somehow consistently score lower than 25% on a multiple choice… and cheating by looking at their answers and ticking a different box.

  3. Steejo, seriously mate, for all the tasks and custom blocks 6:00 is your golden ticket man. Go back and customize the previous blocks for the task at hand. Sorted!

  4. in the future you may want to try using the fast components in the front doing most of the sorting and the slow ones in the back needing only to do some final sort

  5. as a programmer spending 80% of my time on refactoring code and micro optimisations, it is horrible to see this :/
    please don't put slow items in front, it slows everything else down, try to keep them in the back, so they have less items to filter though, second of all, load balancers can be anywhere, they dont have to be in the beginning of your system, 3rdly , 2 decision trees are faster than 1 expert if else

  6. Looks like cost is servers used (1 + the number of 'server' blocks) * seconds it runs * 2. Number of blocks doesn't matter (save for the 'server' block, which adds one to the server count).
    The first change I'd probably try is 1 (or 2, with a 'server' block) expert system (filtering out blue) leading directly into the decision tree color, then one sift each for each color (maybe try a server with two 'sifts' for each color). Once the blue is gone, having the colors sorted is extremely quick, so that should be done as early as possible to ensure as even distribution of the load as you can get to each sift and, more importantly, it'll also mean a lot less idle time for the 'decision tree color' block, the fastest block you have save for the 'server' block.

  7. This Series i feel will be both awesome and fun to watch, but also equally will have me yelling at Steejo through my monitor XD.

    But i find it really fun to watch these types of series to see how people figure them out.

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