The Matrix

Matrix is ​​interwoven with many symbols, myths, philosophy, and psychology. On the surface, this film challenges the superiority of technology in our culture and uses artificial intelligence to predict the end of the world. But behind the struggle of mankind for survival there is a wonderful background In this context, some basic views on the human mind of C.G. Jung. These Jung 's thoughts include self - self relations, and that it involves relationships with personality, shadows, personalization and transcendence.

The last part of this article (thanks to your sustainability) will focus on the existence of the Matrix's own matrix myth, one of the most interesting parts of the current matrix phenomena. There is no need to watch 0.0001% of the movie "Matrix" (it is wonderful like an action SF movie can also be played). Also you do not need to read Plato's Republic. This means that the matrix concept exists within the matrix. Beyond these two literary paradigms, the Matrix has an analogy of its own political matrix. After the election, I have had many conversations with my friends. "Matrix" and "bubble" are often used to explain the alliance of playing cards. "These people are delusions, they are not in perfect contact, just as they are in the matrix, how much can you tell how clear the trump liars are? You get out of your bubble Please! One of the emotions. I am bored. But my boredom is not an argument

If a bubble knows its balance, people in the matrix should not know what is outside of it. After all, this is the premise of the movie. Until Neo had the opportunity to leave the queue and see the "real world" he was not even aware of the second reality (knowing that those in the knowledge bubble have conservative bubbles It is different from what I was doing). I understand that the existence of this other reality is called "take action".

A is a matrix decomposed into an orthogonal matrix U, a transposed diagonal matrix S, and an orthogonal matrix V. Where UTU = I, VTV = I. The column of U is the orthogonal eigenvector of AAT, the column of V is the orthogonal eigenvector of AT A, and S is the diagonal matrix containing the square root of the eigenvalues ​​of U or V. "The idea behind (" Kirkbeck ") is to split tfidf into separate components, then retrieve and multiply these separate components to find A. These components are obtained from the original data It is an abstraction of noise correlation.This makes it possible to best approximate the basic structure of the document.SVD makes similar documents more similar and similar documents more similar.