Ciro Santilli @cirosantilli  40

Notable mentions:

Other notable people that are likely also awesome but Ciro has less familiarity with their contributions:

Predecessor to the synchrotron.

Like the matrix representation of a bilinear form, it is a matrix, but now the matrix has to be a symmetric matrix.

We can then immediately see that the matrix is symmetric, then so is the form. We have:But because $B(x,y)$ is a scalar, we have:and:

Symmetric-key algorithm is al algorithm implementing symmetric encryption.

It allows you to do two things:

An IBM made/pushed term, but that matches Ciro Santilli's general view of how we should move forward AGI.

Ciro's motivation/push for this can be seen e.g. at: Ciro's 2D reinforcement learning games.

Two symmetric matrices $A$ and $B$ are defined to be congruent if there exists an $S$ in $GL(n)$ such that:

In this chapter Richard Feynman talks about his experiences in Brazil.

"O Americano, Outra Vez!" means "The American, once again!" in Portuguese, which is what one of the samba school boss exclaimed when Feynman was not playing well his instrument, the frigideira, during a rehearsal.

Feynman really enjoyed Brazil's (and notably Rio's) stereotypical "take it easy and enjoy life" attitude.

Key quote that names the chapter:

One of the most simply classification algorithm one can think of: just see whatever kind of point your new point seems to be closer to, and say it is also of that type! Then it is just a question of defining "close".

Scikit-learn implementation scikit-learn.org/stable/auto_examples/neighbors/plot_classification.html at python/sklearn/knn.py

This is the first thing you have to know about supervised learning:Both of those already have hardware acceleration available as of the 2010s.