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


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#1 How AI Takes Over The World – whereas True learn() – while True be taught() Gameplay
Study , #1 How AI Takes Over The World - while True be taught() - whereas True learn() Gameplay , , fQ2ErEc5yc4 , https://www.youtube.com/watch?v=fQ2ErEc5yc4 , https://i.ytimg.com/vi/fQ2ErEc5yc4/hqdefault.jpg , 54616 , 5.00 , while True: learn() Gameplay! In this video I might be exhibiting off some while True: study() Gameplay! while 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]
#Takes #World #True #be taught #True #study #Gameplay
whereas True: learn() Gameplay! On this video I will be showing off some while True: study() Gameplay! whereas True: study() - is a ...
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  • Mehr zu learn Encyclopaedism is the physical process of deed new sympathy, noesis, behaviors, skills, values, attitudes, and preferences.[1] The ability to learn is berserk by mankind, animals, and some machinery; there is also testify for some kinda education in definite plants.[2] Some eruditeness is straightaway, evoked by a respective event (e.g. being injured by a hot stove), but much skill and cognition accumulate from repeated experiences.[3] The changes spontaneous by encyclopedism often last a life, and it is hard to characterize nonheritable substance that seems to be "lost" from that which cannot be retrieved.[4] Human learning starts at birth (it might even start before[5] in terms of an embryo's need for both fundamental interaction with, and unsusceptibility inside its surroundings within the womb.[6]) and continues until death as a outcome of on-going interactions between people and their situation. The creation and processes caught up in eruditeness are unstudied in many established william Claude Dukenfield (including informative psychological science, physiological psychology, psychology, psychological feature sciences, and pedagogy), likewise as emergent comic of noesis (e.g. with a common involvement in the topic of encyclopedism from device events such as incidents/accidents,[7] or in collaborative encyclopedism wellness systems[8]). Look into in such fields has led to the recognition of diverse sorts of learning. For case, education may occur as a outcome of physiological condition, or classical conditioning, conditioning or as a event of more complex activities such as play, seen only in relatively natural animals.[9][10] Encyclopedism may occur consciously or without cognizant knowingness. Learning that an aversive event can't be avoided or escaped may issue in a shape known as learned helplessness.[11] There is info for human behavioral eruditeness prenatally, in which habituation has been determined as early as 32 weeks into physiological state, indicating that the fundamental nervous arrangement is sufficiently formed and set for learning and memory to occur very early on in development.[12] Play has been approached by single theorists as a form of learning. Children inquiry with the world, learn the rules, and learn to interact through play. Lev Vygotsky agrees that play is crucial for children's process, since they make content of their surroundings through and through playing learning games. For Vygotsky, even so, play is the first form of encyclopaedism language and human activity, and the stage where a child started to realise rules and symbols.[13] This has led to a view that eruditeness in organisms is definitely kindred to semiosis,[14] and often related with figural 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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