Data science related funny quotes
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It has been customary for the users of different communities to quote funny things about their fields. It may be fun to share your funny things about Machine Learning, Deep Learning, Data Science and the things that you face every day!
machine-learning neural-network deep-learning humor
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show 6 more comments
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It has been customary for the users of different communities to quote funny things about their fields. It may be fun to share your funny things about Machine Learning, Deep Learning, Data Science and the things that you face every day!
machine-learning neural-network deep-learning humor
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1
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Not quite data science, as it's more data management & archiving, but see youtube.com/watch?v=N2zK3sAtr-4
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– Joe
Dec 15 '18 at 23:36
3
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I like this, but really, does this belong here? Maybe it's better off on the Meta.
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– Mr Lister
Dec 16 '18 at 14:55
1
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@MrLister as I've mentioned, you can see this post in other comunities too. It has been just for fun :) don't take that seriously. On the other hand I don't think it is off topic. It is about datascience, isn't it?
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– Media
Dec 16 '18 at 15:03
1
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related: stats.stackexchange.com/questions/1337/statistics-jokes and stats.stackexchange.com/questions/423/…
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– moooeeeep
Dec 17 '18 at 7:30
1
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How many epochs will we need to find ourselves in an epoch (Hellenic meaning), where the machine learning algorithm can make good jokes, to post here?
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– gsamaras
Dec 18 '18 at 10:45
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show 6 more comments
$begingroup$
It has been customary for the users of different communities to quote funny things about their fields. It may be fun to share your funny things about Machine Learning, Deep Learning, Data Science and the things that you face every day!
machine-learning neural-network deep-learning humor
$endgroup$
It has been customary for the users of different communities to quote funny things about their fields. It may be fun to share your funny things about Machine Learning, Deep Learning, Data Science and the things that you face every day!
machine-learning neural-network deep-learning humor
machine-learning neural-network deep-learning humor
edited Dec 18 '18 at 8:23
community wiki
5 revs, 2 users 70%
Media
1
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Not quite data science, as it's more data management & archiving, but see youtube.com/watch?v=N2zK3sAtr-4
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– Joe
Dec 15 '18 at 23:36
3
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I like this, but really, does this belong here? Maybe it's better off on the Meta.
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– Mr Lister
Dec 16 '18 at 14:55
1
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@MrLister as I've mentioned, you can see this post in other comunities too. It has been just for fun :) don't take that seriously. On the other hand I don't think it is off topic. It is about datascience, isn't it?
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– Media
Dec 16 '18 at 15:03
1
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related: stats.stackexchange.com/questions/1337/statistics-jokes and stats.stackexchange.com/questions/423/…
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– moooeeeep
Dec 17 '18 at 7:30
1
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How many epochs will we need to find ourselves in an epoch (Hellenic meaning), where the machine learning algorithm can make good jokes, to post here?
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– gsamaras
Dec 18 '18 at 10:45
|
show 6 more comments
1
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Not quite data science, as it's more data management & archiving, but see youtube.com/watch?v=N2zK3sAtr-4
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– Joe
Dec 15 '18 at 23:36
3
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I like this, but really, does this belong here? Maybe it's better off on the Meta.
$endgroup$
– Mr Lister
Dec 16 '18 at 14:55
1
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@MrLister as I've mentioned, you can see this post in other comunities too. It has been just for fun :) don't take that seriously. On the other hand I don't think it is off topic. It is about datascience, isn't it?
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– Media
Dec 16 '18 at 15:03
1
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related: stats.stackexchange.com/questions/1337/statistics-jokes and stats.stackexchange.com/questions/423/…
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– moooeeeep
Dec 17 '18 at 7:30
1
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How many epochs will we need to find ourselves in an epoch (Hellenic meaning), where the machine learning algorithm can make good jokes, to post here?
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– gsamaras
Dec 18 '18 at 10:45
1
1
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Not quite data science, as it's more data management & archiving, but see youtube.com/watch?v=N2zK3sAtr-4
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– Joe
Dec 15 '18 at 23:36
$begingroup$
Not quite data science, as it's more data management & archiving, but see youtube.com/watch?v=N2zK3sAtr-4
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– Joe
Dec 15 '18 at 23:36
3
3
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I like this, but really, does this belong here? Maybe it's better off on the Meta.
$endgroup$
– Mr Lister
Dec 16 '18 at 14:55
$begingroup$
I like this, but really, does this belong here? Maybe it's better off on the Meta.
$endgroup$
– Mr Lister
Dec 16 '18 at 14:55
1
1
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@MrLister as I've mentioned, you can see this post in other comunities too. It has been just for fun :) don't take that seriously. On the other hand I don't think it is off topic. It is about datascience, isn't it?
$endgroup$
– Media
Dec 16 '18 at 15:03
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@MrLister as I've mentioned, you can see this post in other comunities too. It has been just for fun :) don't take that seriously. On the other hand I don't think it is off topic. It is about datascience, isn't it?
$endgroup$
– Media
Dec 16 '18 at 15:03
1
1
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related: stats.stackexchange.com/questions/1337/statistics-jokes and stats.stackexchange.com/questions/423/…
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– moooeeeep
Dec 17 '18 at 7:30
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related: stats.stackexchange.com/questions/1337/statistics-jokes and stats.stackexchange.com/questions/423/…
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– moooeeeep
Dec 17 '18 at 7:30
1
1
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How many epochs will we need to find ourselves in an epoch (Hellenic meaning), where the machine learning algorithm can make good jokes, to post here?
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– gsamaras
Dec 18 '18 at 10:45
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How many epochs will we need to find ourselves in an epoch (Hellenic meaning), where the machine learning algorithm can make good jokes, to post here?
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– gsamaras
Dec 18 '18 at 10:45
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show 6 more comments
13 Answers
13
active
oldest
votes
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Q: How many machine learning specialists does it take to change a light bulb?
A: Just one, but they require a million light bulbs to train properly.
Q: How many machine learning specialists does it take to change a fluorescent light bulb?
A: That wasn't in the training data!
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5
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I usually find light bulb jokes boring, but this one is cool :D
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– Jérémy Blain
Dec 14 '18 at 15:38
2
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@JérémyBlain All the other light bulb jokes were training - we now have to rerun them with this as a model.
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– Lio Elbammalf
Dec 18 '18 at 14:19
add a comment |
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Neural Network are not black boxes. They are a big pile of linear algebra :
image from xkcd
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1
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Ah, yes, there is xkcd about everything!
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– val
Dec 14 '18 at 20:47
add a comment |
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If you torture data long enough, it will tell you whatever you want to hear.
Statistics shows that statistics cannot be trusted.
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So laconic and true!
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– gsamaras
Dec 18 '18 at 10:39
add a comment |
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Frequentists vs. Bayesians
Transcript:
Did the sun just explode?
(It's night, so we're not sure)
[[Two statisticians stand alongside an adorable little computer that is suspiciously similar to K-9 that speaks in Westminster typeface]]
Frequentist Statistician: This neutrino detector measures whether the sun has gone nova.
Bayesian Statistician: Then, it rolls two dice. If they both come up as six, it lies to us. Otherwise, it tells the truth.
FS: Let's try. [[to the detector]] Detector! Has the sun gone nova?
Detector: <<roll>> YES.
Frequentist Statistician:
FS: The probability of this result happening by chance is $frac1{36}=0.027$. Since $p< 0.05$, I conclude that the sun has exploded.
Bayesian Statistician:
BS: Bet you $50 it hasn't.
Title text:
'Detector! What would the Bayesian statistician say if I asked him whether the–' [roll] 'I AM A NEUTRINO DETECTOR, NOT A LABYRINTH GUARD. SERIOUSLY, DID YOUR BRAIN FALL OUT?' [roll] '... yes.'
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add a comment |
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I find this funny because it's true.
source
Cute funny...
This one always cracks me up for no reason...
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1
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But but but, the bar with the large uncertainty is the only one I trust. Who would trust someone who claims to be absolutely sure of everything, rather than the one who rightly puts in a realistic level of uncertainty?
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– gerrit
Dec 16 '18 at 12:41
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The first one is a twist on XKCD #303 without reference to the source.
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– molnarm
Dec 18 '18 at 11:06
add a comment |
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cursed machine learning.
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– wacax
Dec 17 '18 at 2:55
add a comment |
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Unsure whether they qualify, but there are some fun facts taken from various sources:
Beginning from Yann Lecun:
Geoff Hinton doesn't need to make hidden units. They hide by
themselves when he approaches.Geoff Hinton doesn't disagree with you, he contrastively diverges
(from Vincent Vanhoucke)Shakespeare and Bayes are in a boat, fishing. Bayes is trying to figure out which net to cast when Shakespeare says:
"loopy or not loopy? that is the question".Deep Belief Nets actually believe deeply in Geoff Hinton.
Geoff Hinton discovered how the brain really works. Once a year for
the last 25 years.
Bayesians are the only people who can feel marginalized after being integrated
And now the legend:
One from Reddit:
YOLO: you only LEARN once
P.S: Ian Goodfellow and Jurgen Schmidhuber are co-authoring a paper (to be presented at NIPS 2019) on Inverse GANs (More jokes on the topic here)
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add a comment |
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Let me embrace thee, sour adversity, for wise men say it is the wisest course.
Yann Le Trump! 😂😂😂
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add a comment |
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Question: What's the different between machine learning and AI?
Answer:
If it's written in Python, then it's probably machine learning.
If it's written in PowerPoint, then it's probably AI.
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add a comment |
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A Machine Learning algorithm walks into a bar.
The bartender asks, "What'll you have?"
The algorithm says, "What's everyone else having?"
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add a comment |
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A: What is machine learning sir?
B: It is not machine learning! It is machine burning, man.
by Davide Mazzini
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add a comment |
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"Predictions are hard -- especially about the future."
(Yogi Berra or Neils Bohr, depending whether you prefer physics or baseball)
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add a comment |
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In 2006, a common joke was that you would get an award for writing a paper that would either have "Karl Marx" or "Neural Network" in the title and get accepted at NIPS. Now that's become the standard for the latter... :D
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add a comment |
protected by Media Dec 19 '18 at 13:40
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13 Answers
13
active
oldest
votes
13 Answers
13
active
oldest
votes
active
oldest
votes
active
oldest
votes
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Q: How many machine learning specialists does it take to change a light bulb?
A: Just one, but they require a million light bulbs to train properly.
Q: How many machine learning specialists does it take to change a fluorescent light bulb?
A: That wasn't in the training data!
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5
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I usually find light bulb jokes boring, but this one is cool :D
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– Jérémy Blain
Dec 14 '18 at 15:38
2
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@JérémyBlain All the other light bulb jokes were training - we now have to rerun them with this as a model.
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– Lio Elbammalf
Dec 18 '18 at 14:19
add a comment |
$begingroup$
Q: How many machine learning specialists does it take to change a light bulb?
A: Just one, but they require a million light bulbs to train properly.
Q: How many machine learning specialists does it take to change a fluorescent light bulb?
A: That wasn't in the training data!
$endgroup$
5
$begingroup$
I usually find light bulb jokes boring, but this one is cool :D
$endgroup$
– Jérémy Blain
Dec 14 '18 at 15:38
2
$begingroup$
@JérémyBlain All the other light bulb jokes were training - we now have to rerun them with this as a model.
$endgroup$
– Lio Elbammalf
Dec 18 '18 at 14:19
add a comment |
$begingroup$
Q: How many machine learning specialists does it take to change a light bulb?
A: Just one, but they require a million light bulbs to train properly.
Q: How many machine learning specialists does it take to change a fluorescent light bulb?
A: That wasn't in the training data!
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Q: How many machine learning specialists does it take to change a light bulb?
A: Just one, but they require a million light bulbs to train properly.
Q: How many machine learning specialists does it take to change a fluorescent light bulb?
A: That wasn't in the training data!
answered Dec 14 '18 at 15:31
community wiki
Nuclear Wang
5
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I usually find light bulb jokes boring, but this one is cool :D
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– Jérémy Blain
Dec 14 '18 at 15:38
2
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@JérémyBlain All the other light bulb jokes were training - we now have to rerun them with this as a model.
$endgroup$
– Lio Elbammalf
Dec 18 '18 at 14:19
add a comment |
5
$begingroup$
I usually find light bulb jokes boring, but this one is cool :D
$endgroup$
– Jérémy Blain
Dec 14 '18 at 15:38
2
$begingroup$
@JérémyBlain All the other light bulb jokes were training - we now have to rerun them with this as a model.
$endgroup$
– Lio Elbammalf
Dec 18 '18 at 14:19
5
5
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I usually find light bulb jokes boring, but this one is cool :D
$endgroup$
– Jérémy Blain
Dec 14 '18 at 15:38
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I usually find light bulb jokes boring, but this one is cool :D
$endgroup$
– Jérémy Blain
Dec 14 '18 at 15:38
2
2
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@JérémyBlain All the other light bulb jokes were training - we now have to rerun them with this as a model.
$endgroup$
– Lio Elbammalf
Dec 18 '18 at 14:19
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@JérémyBlain All the other light bulb jokes were training - we now have to rerun them with this as a model.
$endgroup$
– Lio Elbammalf
Dec 18 '18 at 14:19
add a comment |
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Neural Network are not black boxes. They are a big pile of linear algebra :
image from xkcd
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1
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Ah, yes, there is xkcd about everything!
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– val
Dec 14 '18 at 20:47
add a comment |
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Neural Network are not black boxes. They are a big pile of linear algebra :
image from xkcd
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1
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Ah, yes, there is xkcd about everything!
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– val
Dec 14 '18 at 20:47
add a comment |
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Neural Network are not black boxes. They are a big pile of linear algebra :
image from xkcd
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Neural Network are not black boxes. They are a big pile of linear algebra :
image from xkcd
answered Dec 14 '18 at 15:01
community wiki
Jérémy Blain
1
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Ah, yes, there is xkcd about everything!
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– val
Dec 14 '18 at 20:47
add a comment |
1
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Ah, yes, there is xkcd about everything!
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– val
Dec 14 '18 at 20:47
1
1
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Ah, yes, there is xkcd about everything!
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– val
Dec 14 '18 at 20:47
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Ah, yes, there is xkcd about everything!
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– val
Dec 14 '18 at 20:47
add a comment |
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If you torture data long enough, it will tell you whatever you want to hear.
Statistics shows that statistics cannot be trusted.
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So laconic and true!
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– gsamaras
Dec 18 '18 at 10:39
add a comment |
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If you torture data long enough, it will tell you whatever you want to hear.
Statistics shows that statistics cannot be trusted.
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So laconic and true!
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– gsamaras
Dec 18 '18 at 10:39
add a comment |
$begingroup$
If you torture data long enough, it will tell you whatever you want to hear.
Statistics shows that statistics cannot be trusted.
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If you torture data long enough, it will tell you whatever you want to hear.
Statistics shows that statistics cannot be trusted.
edited Dec 18 '18 at 15:06
community wiki
2 revs
sds
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So laconic and true!
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– gsamaras
Dec 18 '18 at 10:39
add a comment |
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So laconic and true!
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– gsamaras
Dec 18 '18 at 10:39
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So laconic and true!
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– gsamaras
Dec 18 '18 at 10:39
$begingroup$
So laconic and true!
$endgroup$
– gsamaras
Dec 18 '18 at 10:39
add a comment |
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Frequentists vs. Bayesians
Transcript:
Did the sun just explode?
(It's night, so we're not sure)
[[Two statisticians stand alongside an adorable little computer that is suspiciously similar to K-9 that speaks in Westminster typeface]]
Frequentist Statistician: This neutrino detector measures whether the sun has gone nova.
Bayesian Statistician: Then, it rolls two dice. If they both come up as six, it lies to us. Otherwise, it tells the truth.
FS: Let's try. [[to the detector]] Detector! Has the sun gone nova?
Detector: <<roll>> YES.
Frequentist Statistician:
FS: The probability of this result happening by chance is $frac1{36}=0.027$. Since $p< 0.05$, I conclude that the sun has exploded.
Bayesian Statistician:
BS: Bet you $50 it hasn't.
Title text:
'Detector! What would the Bayesian statistician say if I asked him whether the–' [roll] 'I AM A NEUTRINO DETECTOR, NOT A LABYRINTH GUARD. SERIOUSLY, DID YOUR BRAIN FALL OUT?' [roll] '... yes.'
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add a comment |
$begingroup$
Frequentists vs. Bayesians
Transcript:
Did the sun just explode?
(It's night, so we're not sure)
[[Two statisticians stand alongside an adorable little computer that is suspiciously similar to K-9 that speaks in Westminster typeface]]
Frequentist Statistician: This neutrino detector measures whether the sun has gone nova.
Bayesian Statistician: Then, it rolls two dice. If they both come up as six, it lies to us. Otherwise, it tells the truth.
FS: Let's try. [[to the detector]] Detector! Has the sun gone nova?
Detector: <<roll>> YES.
Frequentist Statistician:
FS: The probability of this result happening by chance is $frac1{36}=0.027$. Since $p< 0.05$, I conclude that the sun has exploded.
Bayesian Statistician:
BS: Bet you $50 it hasn't.
Title text:
'Detector! What would the Bayesian statistician say if I asked him whether the–' [roll] 'I AM A NEUTRINO DETECTOR, NOT A LABYRINTH GUARD. SERIOUSLY, DID YOUR BRAIN FALL OUT?' [roll] '... yes.'
$endgroup$
add a comment |
$begingroup$
Frequentists vs. Bayesians
Transcript:
Did the sun just explode?
(It's night, so we're not sure)
[[Two statisticians stand alongside an adorable little computer that is suspiciously similar to K-9 that speaks in Westminster typeface]]
Frequentist Statistician: This neutrino detector measures whether the sun has gone nova.
Bayesian Statistician: Then, it rolls two dice. If they both come up as six, it lies to us. Otherwise, it tells the truth.
FS: Let's try. [[to the detector]] Detector! Has the sun gone nova?
Detector: <<roll>> YES.
Frequentist Statistician:
FS: The probability of this result happening by chance is $frac1{36}=0.027$. Since $p< 0.05$, I conclude that the sun has exploded.
Bayesian Statistician:
BS: Bet you $50 it hasn't.
Title text:
'Detector! What would the Bayesian statistician say if I asked him whether the–' [roll] 'I AM A NEUTRINO DETECTOR, NOT A LABYRINTH GUARD. SERIOUSLY, DID YOUR BRAIN FALL OUT?' [roll] '... yes.'
$endgroup$
Frequentists vs. Bayesians
Transcript:
Did the sun just explode?
(It's night, so we're not sure)
[[Two statisticians stand alongside an adorable little computer that is suspiciously similar to K-9 that speaks in Westminster typeface]]
Frequentist Statistician: This neutrino detector measures whether the sun has gone nova.
Bayesian Statistician: Then, it rolls two dice. If they both come up as six, it lies to us. Otherwise, it tells the truth.
FS: Let's try. [[to the detector]] Detector! Has the sun gone nova?
Detector: <<roll>> YES.
Frequentist Statistician:
FS: The probability of this result happening by chance is $frac1{36}=0.027$. Since $p< 0.05$, I conclude that the sun has exploded.
Bayesian Statistician:
BS: Bet you $50 it hasn't.
Title text:
'Detector! What would the Bayesian statistician say if I asked him whether the–' [roll] 'I AM A NEUTRINO DETECTOR, NOT A LABYRINTH GUARD. SERIOUSLY, DID YOUR BRAIN FALL OUT?' [roll] '... yes.'
answered Dec 15 '18 at 21:21
community wiki
wizzwizz4
add a comment |
add a comment |
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I find this funny because it's true.
source
Cute funny...
This one always cracks me up for no reason...
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1
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But but but, the bar with the large uncertainty is the only one I trust. Who would trust someone who claims to be absolutely sure of everything, rather than the one who rightly puts in a realistic level of uncertainty?
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– gerrit
Dec 16 '18 at 12:41
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The first one is a twist on XKCD #303 without reference to the source.
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– molnarm
Dec 18 '18 at 11:06
add a comment |
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I find this funny because it's true.
source
Cute funny...
This one always cracks me up for no reason...
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1
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But but but, the bar with the large uncertainty is the only one I trust. Who would trust someone who claims to be absolutely sure of everything, rather than the one who rightly puts in a realistic level of uncertainty?
$endgroup$
– gerrit
Dec 16 '18 at 12:41
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The first one is a twist on XKCD #303 without reference to the source.
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– molnarm
Dec 18 '18 at 11:06
add a comment |
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I find this funny because it's true.
source
Cute funny...
This one always cracks me up for no reason...
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I find this funny because it's true.
source
Cute funny...
This one always cracks me up for no reason...
edited Dec 18 '18 at 15:53
community wiki
2 revs
BrunoGL
1
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But but but, the bar with the large uncertainty is the only one I trust. Who would trust someone who claims to be absolutely sure of everything, rather than the one who rightly puts in a realistic level of uncertainty?
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– gerrit
Dec 16 '18 at 12:41
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The first one is a twist on XKCD #303 without reference to the source.
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– molnarm
Dec 18 '18 at 11:06
add a comment |
1
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But but but, the bar with the large uncertainty is the only one I trust. Who would trust someone who claims to be absolutely sure of everything, rather than the one who rightly puts in a realistic level of uncertainty?
$endgroup$
– gerrit
Dec 16 '18 at 12:41
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The first one is a twist on XKCD #303 without reference to the source.
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– molnarm
Dec 18 '18 at 11:06
1
1
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But but but, the bar with the large uncertainty is the only one I trust. Who would trust someone who claims to be absolutely sure of everything, rather than the one who rightly puts in a realistic level of uncertainty?
$endgroup$
– gerrit
Dec 16 '18 at 12:41
$begingroup$
But but but, the bar with the large uncertainty is the only one I trust. Who would trust someone who claims to be absolutely sure of everything, rather than the one who rightly puts in a realistic level of uncertainty?
$endgroup$
– gerrit
Dec 16 '18 at 12:41
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The first one is a twist on XKCD #303 without reference to the source.
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– molnarm
Dec 18 '18 at 11:06
$begingroup$
The first one is a twist on XKCD #303 without reference to the source.
$endgroup$
– molnarm
Dec 18 '18 at 11:06
add a comment |
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cursed machine learning.
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– wacax
Dec 17 '18 at 2:55
add a comment |
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cursed machine learning.
$endgroup$
– wacax
Dec 17 '18 at 2:55
add a comment |
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$endgroup$
answered Dec 16 '18 at 15:09
community wiki
Mr Lister
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cursed machine learning.
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– wacax
Dec 17 '18 at 2:55
add a comment |
$begingroup$
cursed machine learning.
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– wacax
Dec 17 '18 at 2:55
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cursed machine learning.
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– wacax
Dec 17 '18 at 2:55
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cursed machine learning.
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– wacax
Dec 17 '18 at 2:55
add a comment |
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Unsure whether they qualify, but there are some fun facts taken from various sources:
Beginning from Yann Lecun:
Geoff Hinton doesn't need to make hidden units. They hide by
themselves when he approaches.Geoff Hinton doesn't disagree with you, he contrastively diverges
(from Vincent Vanhoucke)Shakespeare and Bayes are in a boat, fishing. Bayes is trying to figure out which net to cast when Shakespeare says:
"loopy or not loopy? that is the question".Deep Belief Nets actually believe deeply in Geoff Hinton.
Geoff Hinton discovered how the brain really works. Once a year for
the last 25 years.
Bayesians are the only people who can feel marginalized after being integrated
And now the legend:
One from Reddit:
YOLO: you only LEARN once
P.S: Ian Goodfellow and Jurgen Schmidhuber are co-authoring a paper (to be presented at NIPS 2019) on Inverse GANs (More jokes on the topic here)
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add a comment |
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Unsure whether they qualify, but there are some fun facts taken from various sources:
Beginning from Yann Lecun:
Geoff Hinton doesn't need to make hidden units. They hide by
themselves when he approaches.Geoff Hinton doesn't disagree with you, he contrastively diverges
(from Vincent Vanhoucke)Shakespeare and Bayes are in a boat, fishing. Bayes is trying to figure out which net to cast when Shakespeare says:
"loopy or not loopy? that is the question".Deep Belief Nets actually believe deeply in Geoff Hinton.
Geoff Hinton discovered how the brain really works. Once a year for
the last 25 years.
Bayesians are the only people who can feel marginalized after being integrated
And now the legend:
One from Reddit:
YOLO: you only LEARN once
P.S: Ian Goodfellow and Jurgen Schmidhuber are co-authoring a paper (to be presented at NIPS 2019) on Inverse GANs (More jokes on the topic here)
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add a comment |
$begingroup$
Unsure whether they qualify, but there are some fun facts taken from various sources:
Beginning from Yann Lecun:
Geoff Hinton doesn't need to make hidden units. They hide by
themselves when he approaches.Geoff Hinton doesn't disagree with you, he contrastively diverges
(from Vincent Vanhoucke)Shakespeare and Bayes are in a boat, fishing. Bayes is trying to figure out which net to cast when Shakespeare says:
"loopy or not loopy? that is the question".Deep Belief Nets actually believe deeply in Geoff Hinton.
Geoff Hinton discovered how the brain really works. Once a year for
the last 25 years.
Bayesians are the only people who can feel marginalized after being integrated
And now the legend:
One from Reddit:
YOLO: you only LEARN once
P.S: Ian Goodfellow and Jurgen Schmidhuber are co-authoring a paper (to be presented at NIPS 2019) on Inverse GANs (More jokes on the topic here)
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Unsure whether they qualify, but there are some fun facts taken from various sources:
Beginning from Yann Lecun:
Geoff Hinton doesn't need to make hidden units. They hide by
themselves when he approaches.Geoff Hinton doesn't disagree with you, he contrastively diverges
(from Vincent Vanhoucke)Shakespeare and Bayes are in a boat, fishing. Bayes is trying to figure out which net to cast when Shakespeare says:
"loopy or not loopy? that is the question".Deep Belief Nets actually believe deeply in Geoff Hinton.
Geoff Hinton discovered how the brain really works. Once a year for
the last 25 years.
Bayesians are the only people who can feel marginalized after being integrated
And now the legend:
One from Reddit:
YOLO: you only LEARN once
P.S: Ian Goodfellow and Jurgen Schmidhuber are co-authoring a paper (to be presented at NIPS 2019) on Inverse GANs (More jokes on the topic here)
answered Dec 16 '18 at 8:41
community wiki
Failed Scientist
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Let me embrace thee, sour adversity, for wise men say it is the wisest course.
Yann Le Trump! 😂😂😂
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add a comment |
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Let me embrace thee, sour adversity, for wise men say it is the wisest course.
Yann Le Trump! 😂😂😂
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add a comment |
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Let me embrace thee, sour adversity, for wise men say it is the wisest course.
Yann Le Trump! 😂😂😂
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Let me embrace thee, sour adversity, for wise men say it is the wisest course.
Yann Le Trump! 😂😂😂
answered Dec 18 '18 at 11:35
community wiki
TitoOrt
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Question: What's the different between machine learning and AI?
Answer:
If it's written in Python, then it's probably machine learning.
If it's written in PowerPoint, then it's probably AI.
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add a comment |
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Question: What's the different between machine learning and AI?
Answer:
If it's written in Python, then it's probably machine learning.
If it's written in PowerPoint, then it's probably AI.
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add a comment |
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Question: What's the different between machine learning and AI?
Answer:
If it's written in Python, then it's probably machine learning.
If it's written in PowerPoint, then it's probably AI.
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Question: What's the different between machine learning and AI?
Answer:
If it's written in Python, then it's probably machine learning.
If it's written in PowerPoint, then it's probably AI.
answered Dec 17 '18 at 4:47
community wiki
iBug
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A Machine Learning algorithm walks into a bar.
The bartender asks, "What'll you have?"
The algorithm says, "What's everyone else having?"
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add a comment |
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A Machine Learning algorithm walks into a bar.
The bartender asks, "What'll you have?"
The algorithm says, "What's everyone else having?"
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add a comment |
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A Machine Learning algorithm walks into a bar.
The bartender asks, "What'll you have?"
The algorithm says, "What's everyone else having?"
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A Machine Learning algorithm walks into a bar.
The bartender asks, "What'll you have?"
The algorithm says, "What's everyone else having?"
answered Dec 18 '18 at 10:41
community wiki
gsamaras
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A: What is machine learning sir?
B: It is not machine learning! It is machine burning, man.
by Davide Mazzini
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add a comment |
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A: What is machine learning sir?
B: It is not machine learning! It is machine burning, man.
by Davide Mazzini
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add a comment |
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A: What is machine learning sir?
B: It is not machine learning! It is machine burning, man.
by Davide Mazzini
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A: What is machine learning sir?
B: It is not machine learning! It is machine burning, man.
by Davide Mazzini
edited Dec 14 '18 at 20:17
community wiki
Media
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"Predictions are hard -- especially about the future."
(Yogi Berra or Neils Bohr, depending whether you prefer physics or baseball)
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add a comment |
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"Predictions are hard -- especially about the future."
(Yogi Berra or Neils Bohr, depending whether you prefer physics or baseball)
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add a comment |
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"Predictions are hard -- especially about the future."
(Yogi Berra or Neils Bohr, depending whether you prefer physics or baseball)
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"Predictions are hard -- especially about the future."
(Yogi Berra or Neils Bohr, depending whether you prefer physics or baseball)
answered Dec 17 '18 at 4:31
community wiki
jkf
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In 2006, a common joke was that you would get an award for writing a paper that would either have "Karl Marx" or "Neural Network" in the title and get accepted at NIPS. Now that's become the standard for the latter... :D
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add a comment |
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In 2006, a common joke was that you would get an award for writing a paper that would either have "Karl Marx" or "Neural Network" in the title and get accepted at NIPS. Now that's become the standard for the latter... :D
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add a comment |
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In 2006, a common joke was that you would get an award for writing a paper that would either have "Karl Marx" or "Neural Network" in the title and get accepted at NIPS. Now that's become the standard for the latter... :D
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In 2006, a common joke was that you would get an award for writing a paper that would either have "Karl Marx" or "Neural Network" in the title and get accepted at NIPS. Now that's become the standard for the latter... :D
answered Dec 16 '18 at 22:48
community wiki
J. Reinhard
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protected by Media Dec 19 '18 at 13:40
Thank you for your interest in this question.
Because it has attracted low-quality or spam answers that had to be removed, posting an answer now requires 10 reputation on this site (the association bonus does not count).
Would you like to answer one of these unanswered questions instead?
1
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Not quite data science, as it's more data management & archiving, but see youtube.com/watch?v=N2zK3sAtr-4
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– Joe
Dec 15 '18 at 23:36
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I like this, but really, does this belong here? Maybe it's better off on the Meta.
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– Mr Lister
Dec 16 '18 at 14:55
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@MrLister as I've mentioned, you can see this post in other comunities too. It has been just for fun :) don't take that seriously. On the other hand I don't think it is off topic. It is about datascience, isn't it?
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– Media
Dec 16 '18 at 15:03
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related: stats.stackexchange.com/questions/1337/statistics-jokes and stats.stackexchange.com/questions/423/…
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– moooeeeep
Dec 17 '18 at 7:30
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How many epochs will we need to find ourselves in an epoch (Hellenic meaning), where the machine learning algorithm can make good jokes, to post here?
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– gsamaras
Dec 18 '18 at 10:45