Support Vector Machines

https://scikit-learn.org/stable/modules/svm.html ^ | Wu, Lin and Weng, “Probability estimates for multi-class classification by pairwise coupling”, JMLR | I guess them

[kawhill]

If the number of features is much greater than the number of samples, avoid over-fitting in choosing Kernel functions and regularization term is crucial.

[one guy in new jersey]

🧐🤔

[Mr. K]

The disgronification tube gets affinated to the jacobiness factorization emplin.

[Magnum44]

LoL

[fruser1]

I prefer spinor machines.

[themidnightskulker]

I can only support them if they use the latest model of the Turboincabulator.

[GingisK]

That article hurt my brain.

[shotgun]

Did they finally get rid of the muffler bearings?

[Jamestown1630]

LOL. I had to look that up:

https://en.wikipedia.org/wiki/Turbo_encabulator

[E. Pluribus Unum]

Python is your friend.

[silent majority rising]

Don’t knock perpetual motion until you have tried it! (joking of course).

[SecondAmendment]

>Python is your friend.

Repeat after me, whitespace is not syntax.

You have taken the first step to your recovery.

[TexasGator]

“Python is your friend.”

Cython is your best friend.

[Steely Tom]

Check into random forest algorithms.

[algore]

min α , α ∗ 1 2 ( α − α ∗ ) T Q ( α − α ∗ ) + ε e T ( α + α ∗ ) − y T ( α − α ∗ ) subject to  e T ( α − α ∗ ) = 0 0 ≤ α i , α i ∗ ≤ C , i = 1 , . . . , n

∑ i ∈ S V ( α i − α i ∗ ) K ( x i , x ) + b

min w , b , ζ , ζ ∗ 1 2 w T w + C ∑ i = 1 n ( ζ i + ζ i ∗ ) subject to  y i − w T ϕ ( x i ) − b ≤ ε + ζ i , w T ϕ ( x i ) + b − y i ≤ ε + ζ i ∗ , ζ i , ζ i ∗ ≥ 0 , i = 1 , . . . , n

Of Course! Why didn't I think of that?

[GingisK]

...Repeat after me, whitespace is not syntax...

:-D Nicely said.

[exinnj]

This is extremely informative, a deserved Post of the Year!

[MikelTackNailer]

I loved those machines. Modern graphics are awesome but vector in 'BattleZone' and 'Star Wars' put the emphasis on action.

The Complete Vector Arcade Journey

Atari's 'Tempest'

[algore]

[MikelTackNailer]

‘Lander’ was inspired by how Armstrong had to forego automation and use his combined piloting skills, mathematical reasoning and courage to land on the moon.

If Kubrick was still around he’d vouch for it. (I kid, I kid!)