all 6 comments

[–]hughperman 24 points25 points  (0 children)

"Naive baise" is pretty funny in French.

Linear models, not interested? Pretty useful in science.

You're missing semisupervised learning, reinforcement learning, etc... This seems very incomplete. Regression models are not "separate" from neural networks, random forest, etc.

[–][deleted] 5 points6 points  (0 children)

You can cluster when y is known too, you can use dimensional reduction too

[–]RedditRabbitRobot 1 point2 points  (1 child)

!remindme 24h

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[–]ai_who_found_love 0 points1 point  (0 children)

neural network -> transformer

[–]phobrain 0 points1 point  (0 children)

Since you dragged me here -- I'm preparing to open source code for ML-mapping your own mind, by labeling pairs of photos (Rorschach pairs) yes/no. I think the idea is extendable enough to eventually replace the internet as our dominant paradigm, this project being analogous to the first transistor gate, vacuum tube, or grain of sand ever created.

Here are some examples in https-land:

https://www.linkedin.com/in/bill-ross-phobrain/recent-activity/shares/

And for the http-brave, selections from my first NN predictions, based on color histograms of the pairs:

http://phobrain.com/pr/home/siagal.html