Jiří Nádovrník nadvornix
nadvornix
/ gist:618229d311c57aa2fabc46074066f875
Created
February 5, 2020 21:09
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| Napsat flipcharty: | |
| - argument (verze z astronomical wate) | |
| - definice od MacAskilla | |
| ---- | |
| úvod: | |
| - Co jsou deep dives. | |
| - neformální |
nadvornix
/ gist:1c3f3c5914e46efe892f9579cfd57076
Created
March 29, 2019 09:02
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| Recept na proteinové tyčinky. Je to dost variabilní recept, podle chuti a co doma najdu se dá dost měnit. | |
| Nemusí vyhovovat všem. Já chci získávat většinu kalorií z tuků, vyhnout se průmyslově zpracovaným jídlům a nevadí mi monotoní strava (mnohem více mi záleží na ušetřeném čase, lepším zdraví a menším útratám). | |
| Ingredience: | |
| 3/4 hrnku mletých vlašských ořechů | |
| půl hrnku chia semínek | |
| půl hrnku sezamu | |
| dvě polévkové lžíce mletého lnu | |
| půl hrnku pohankové lámanky | |
| možná trochu skořice |
nadvornix
/ Aixi - sources
Last active
July 30, 2018 16:05
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| Intuitive intros: | |
| https://www.lesswrong.com/posts/Kyc5dFDzBg4WccrbK/an-intuitive-explanation-of-solomonoff-induction | |
| https://arbital.com/p/solomonoff_induction/?l=1hh | |
| https://arxiv.org/abs/1105.5721 | |
| http://www.hutter1.net/aixijs/index.html | |
| Technical intro: | |
| AIXI + Solomonoff: | |
| Section 2: Solomonoff + AIXI. | |
| http://www.vetta.org/documents/Machine_Super_Intelligence.pdf |
nadvornix
/ gist:ebadb9f21c4e813368150212bc7dba48
Created
February 16, 2018 13:23
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| Near vs. far mode of thinking | |
| http://www.overcomingbias.com/2010/06/near-far-summary.html | |
| Scope insensitivity | |
| http://lesswrong.com/lw/hw/scope_insensitivity/ | |
| Efficient market hypothesis | |
| https://conceptually.org/concepts/efficient-markets/ | |
| Coordination problems and nash equilibria | |
| Strawman argument vs. steelman argument. | |
| https://wiki.lesswrong.com/wiki/Steel_man | |
| Chesterton fence |
nadvornix
/ gist:6674b1c3fc31027365a1
Created
January 22, 2016 14:44
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| Classification report for classifier LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True, | |
| intercept_scaling=1, penalty='l2', random_state=None, tol=0.0001): | |
| precision recall f1-score support | |
| 0 0.88 0.98 0.93 5550 | |
| 1 0.31 0.07 0.11 786 | |
| avg / total 0.81 0.87 0.83 6336 | |
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| # use: | |
| # $ make | |
| # $ ./test | python display.py | |
| import Image,sys,ImageDraw | |
| if len(sys.argv)<2: | |
| print "missing filename" | |
| sys.exit() | |
| filename=sys.argv[1] | |
| f=file(filename) |
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| import Image,sys,ImageDraw | |
| if len(sys.argv)<2: | |
| print "missing filename" | |
| sys.exit() | |
| filename=sys.argv[1] | |
| f=file(filename) | |
| def evalM(s): | |
| parts=s.split("/") |