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Students at rural high schools may lack access to adequate counseling about college options and financial aid, or they may not be offered classes that selective institutions look for among applicants, such as calculus. She had an early public transportation mishap where she ended up far from campus and had to walk all the way back.
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Most are about five minutes (some longer, some shorter) and cover topics like chemistry, physics, calculus, geometry, biology, Algebra, trigonometry, grammar, ACT prep, and SAT prep. Bright Science is a free YouTube channel of over 1300 study videos for high schoolers (or precocious middle schoolers).
For example, as transportation networks play a key role in moving goods and materials from suppliers to customers, Zach hopes to integrate models of global transportation networks into his models of global supply chain networks. There are many branches of maths, including algebra, geometry, calculus and statistics.
Line, Surface and Contour Integration “Find the integral of the function ” is a typical core thing one wants to do in calculus. But particularly in applications of calculus, it’s common to want to ask slightly more elaborate questions, like “What’s the integral of over the region ?”, or “What’s the integral of along the line ?”
Already the steam-engine works our mines, impels our ships, excavates our ports and our rivers, forges iron, fashions wood, grinds grain, spins and weaves our cloths, transports the heaviest burdens, etc. He introduced the Boltzmann Transport Equation which allows one to compute at least certain non-equilibrium properties of gases.
It’s not obvious that it would be feasible to find the path of the steepest descent on the “weight landscape” But calculus comes to the rescue. It turns out that the chain rule of calculus in effect lets us “unravel” the operations done by successive layers in the neural net.
When you do operations on Around numbers the “errors” are combined using a certain calculus of errors that’s effectively based on Gaussian distributions—and the results you get are always in some sense statistical. Also in the area of calculus we’ve added various conveniences to the handling of differential equations.
Once one has the idea of “equilibrium”, one can then start to think of its properties as purely being functions of certain parameters—and this opens up all sorts of calculus-based mathematical opportunities. In living systems one sometimes also cares about the transport of electrons—though more often it’s atoms and ions and molecules.
But with the multicomputational paradigm there’s now the remarkable possibility that this feature of physics could be transported to many other fields—and could deliver there what’s in many cases been seen as a “holy grail” of finding “physics-like” laws. I know of a few perhaps-closer approaches to our conception of multiway systems.
But my recent work on the foundations of machine learning suggests a broader approach, that can also potentially tell us things about the fundamental character of language, and about how it serves as a medium that can “ transport thoughts ” from one mind to another. OK, so that’s a lot of projects.
To make a closer analogy with quantum mechanics one can start thinking about combining different chunks of “multiway game play”, and trying to work out a calculus for how those chunks fit together. The games we’ve discussed here are all in a sense pure “games of skill”.
But with the multicomputational paradigm there’s now the remarkable possibility that this feature of physics could be transported to many other fields—and could deliver there what’s in many cases been seen as a “holy grail” of finding “physics-like” laws. I know of a few perhaps-closer approaches to our conception of multiway systems.
But what about other models of computation—like cellular automata or register machines or lambda calculus? If we have ways of thinking—or consciousnesses—whose details are different, the issue is what will be robust enough to be able to be transported between them. We’ve talked about building up the ruliad using Turing machines.
It didn’t help that his knowledge of physics was at best spotty (and, for example, I don’t think he ever really learned calculus). Ed was a serious (and, by all reports, exceptionally good) pilot—with an airplane transport pilot license (plus seaplane and glider licenses). It’s actually a nice application for calculus.
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