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When most people think of physics, they think of what they learned in high school physics: that the world is fundamentally predictable. Given the position and velocity of a particle in space, it should be possible to predict its position at any moment in the future---right? Though this was thought to be true for thousands of years, recent developments in the field of physics have shown that this isn't actually true. Instead of being fundamentally predictable, the universe is fundamentally unpredicable. However, this doesn't seem to make sense. What happened to the centuries of physics developed by Newton, Bernoulli, and Lagrange? Well, as it turns out, they weren't actually wrong. Their equations were actually an approximation of a formula called the wavefunction, which is the "Newton's Laws'' equivalent for modern physics. In this paper, we'll take a look at this peculiar wavefunction---and why our intuition about the world is completely wrong. \centerline{This is Quantum Physics.}

Automatas con dos pilas

resumen de una clase en Udacity

Electrical and Electronic Engineering Graduate CV

homework 11W

Supplied with high frequency stock-trading data, we developed statistical models to predict the market 1 second and 60 seconds in the future. Our models beat the benchmark RMSE score, but placed 2nd in the competition.

LaTeX template for C240 Models of Computation assessed coursework Contains macros for typesetting operational semantic rules and proof trees and other notation used in the first half of the course. Department of Computing, Imperial College London

"ModernCV" CV and Cover Letter LaTeX Template Version 1.1 (9/12/12) This template has been downloaded from: http://www.LaTeXTemplates.com Original author: Xavier Danaux (xdanaux@gmail.com) License: CC BY-NC-SA 3.0 (http://creativecommons.org/licenses/by-nc-sa/3.0/) Important note: This template requires the moderncv.cls and .sty files to be in the same directory as this .tex file. These files provide the resume style and themes used for structuring the document.

Recognizing markets from natural language. For General Assembly lecture.