ML Hipster @ML_Hipster
I was into data before it was big. en.wikipedia.org/wiki/Perceptron Some local minima Joined July 2012-
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Why is it called “prompt engineering” when it takes so long to render?
The discriminative network in a well-trained GAN:
I cut into my machine learning algorithm and it’s actually cake génoise!
Deep learning algorithms are like “I know a place” and then when you get there are like “wait, there’s a slightly better place over there”.
In the interests of doing socially responsible ML in the wake of COVID-19 I urge all of you using k-NN for clustering to set k=0.
THIS IS JUST TO SAY I have trained on the data that was in the test set and which you were probably saving for validation Forgive me It reduced my MSE to nearly zero #datascience #machinelearning #epitwitter #statstwitter
“… even the most advanced labs are decades away from developing neural networks sophisticated enough to analyze large quantities of data and output much else besides paraphrased Ayn Rand quotes.” theonion.com/computer-scien…
Happens to the best of us… 👏👏👏
Only when our system is perfect at every threshold will we have no @AOC. (Hat tip to @peteskomoroch for the “heads up”)
Only when our system is perfect at every threshold will we have no @AOC. (Hat tip to @peteskomoroch for the “heads up”)
Alan Turing, McCulloch-Pitts, Rosenblatt, Microchips Herbert Simon, Marvin Minsky, Arthur Samuel’s draughts John McCarthy, Seymour Papert, Perceptrons book, Lighthill report MIT, CMU, DARPA and Deep Blue 🎶 We didn’t start the fire.… 🎶
For those of you tired of waiting for me to post something new and/or funny, go get your fix from @ai_memes. Quality memeistry with an AI bent.
ML theorist: *slaps roof of DNN* this bad boy can fit so many examples in it.
@_ajbc Here’s the original: x.com/_ajbc/status/9…
@_ajbc Here’s the original: x.com/_ajbc/status/9…
The continuous distribution of this graphic by @_ajbc receives my full support.
With this year’s data that’s 13 years sooner than my estimate of 2048 from last year. At this rate the NIPS singularity will actually occur in 2019! The silver lining is that choosing the venue just got easier. NIPS 2019: Earth x.com/ml_hipster/sta… #NIPS2017 x.com/josephreisinge…
With this year’s data that’s 13 years sooner than my estimate of 2048 from last year. At this rate the NIPS singularity will actually occur in 2019! The silver lining is that choosing the venue just got easier. NIPS 2019: Earth x.com/ml_hipster/sta… #NIPS2017 x.com/josephreisinge…
(((ل()(ل() 'yoav))).. @yoavgo
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This meme collapse deserves a reward, however sparse
I cut into my machine learning algorithm and it’s actually cake génoise!
@ML_Hipster And that's why when I open a bar it will be called The Local Optimum.
@ML_Hipster @vikataravi Use k-means and set k=n. Then initialize the centers with the data itself. That's how a hipster would cluster in this day and age. Bonus: converges instantly.
@ML_Hipster @vikataravi Technically k-nn is used in spectral clustering. 🤷🏽♂️
@lizjosullivan Hippo @InternetHippo Hipster @ML_Hipster
h/t @ML_Hipster x.com/ml_hipster/sta…
"Oh sure, going in that direction will totally minimize the objective function" —Sarcastic Gradient Descent.
Missed joke opportunity for @ML_Hipster
I assume someone has made this joke already... @RachandRolle #MachineLearning
ML researchers humor : a @ML_Hipster quote in a PhD thesis.
I just got kicked out of Barnes and Noble for moving all their classic statistical theory books to the religious section. - @ML_Hipster #MachineLearning #programming #Statistics
The singularity will be near, as ML Hipster correctly predicted some time ago.
By my calculations, the ML singularity will arrive around 2048.
@jjvincent Just about anything that pops up from @ML_Hipster
@ML_Hipster Statistics hipster, pointing at Nadaraya-Watson estimator: these bad boys interpolated data before it became cool arxiv.org/abs/1806.09471
@ML_Hipster I actually laughed out loud. Excellent one.
This is literally what I think about everytime we talk about KL divergence: x.com/ml_hipster/sta…
The continuous distribution of this graphic by @_ajbc receives my full support.
@hardmaru @dennybritz @ML_Hipster I think you got scooped here.
@ML_Hipster @dj_mosfett My Cholesky factorizations are phenomenal. Always unique. Really something
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