mathematics for machine technology

Smart phone positioning and navigation capabilities, in fact, only three key technologies: First, the use of satellite positioning Second, the identification of the address Third, according to user input to start and end, on the map to plan the shortest route or the fastest route1 Address analysis and finite state machine Address identification and analysis is an essential technology for local search. The

Path to mathematics-python computing practice (13)-machine vision-Image Enhancement-python practice The basic expression of exponential transformation is y = bc (x-a)-1. ParametersB,CControl curve transformation shape, ParametersAThe position of the control curve.Exponential transformation is used to expand the image's high gray level and reduce the low gray level. It can be used for images with high brig

Classifier._labels If fval in Cpdist[l, fname]. samples ()], key=labelprob) If len (labels) = = 1:continue L0 = labels[0] L1 = labels[-1 ] If cpdist[l0, Fname].prob (fval) = = 0:ratio = ' INF ' else:ratio = '%8.1f '% (CPDIST[L1, Fname].prob ( FVal)/cpdist[l0, Fname].prob (fval)) print fname+ "=" +fval, print ('%6s:%-6s =%s:1.0 '% (("%s"% L1) [: 6], ("%s"% l0) [: 6], ratio))) Running Result: = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = =

Mathematics in Machine learning (5)-powerful matrix singular value decomposition (SVD) and its applicationCopyright Notice:This article is published by Leftnoteasy in Http://leftnoteasy.cnblogs.com, this article can be reproduced or part of the use, but please indicate the source, if there is a problem, please contact [email protected]Objective:Last time I wrote about PCA and LDA, there are two general impl

horse meaning ah. The discourse in domestic web pages is also occupied by posts that do not have much nutrition. Sincerely hope that the atmosphere in the domestic can be more strong, the game is really like the production of games, data mining people are really like to dig, not just to eat food, so talk beyond others have meaning, Chinese article, can talk about technology too little, change the situation, Do it from me.In front of that, this articl

Mathematics in machine learning (1)-Regression (regression), gradient descent (gradient descent)Copyright Notice:This article is owned by Leftnoteasy and published in Http://leftnoteasy.cnblogs.com. If reproduced, please specify the source, without the consent of the author to use this article for commercial purposes, will be held accountable for its legal responsibility.Objective:Last wrote a about Bayesia

Copyright Notice:This article is owned by Leftnoteasy and published in Http://leftnoteasy.cnblogs.com. If reproduced, please specify the source, without the consent of the author to use this article for commercial purposes, will be held accountable for its legal responsibility.Objective:Last wrote a about Bayesian probability theory of mathematics, the recent time is relatively tight, coding task is heavier, but still take time to read some

Mathematics in Machine learning (4)-Linear discriminant analysis (LDA), principal component analysis (PCA)Copyright Notice:This article is published by Leftnoteasy in Http://leftnoteasy.cnblogs.com, this article can be reproduced or part of the use, but please indicate the source, if there is a problem, please contact [email protected]Objective:The second article talked about, and department Kroning out out

/doc/hadoop/home/myhaspl/hadoop-2.4.1/share/doc/hadoop/api/src-html/org/apache/hadoop/home/myhaspl/hadoop-2.4.1/share/doc/hadoop/api/org/apache/hadoop/home/myhaspl/hadoop-2.4.1/share/doc/hadoop/api/org/apache/hadoop/lib/service/hadoop/home/myhaspl/hadoop-2.4.1/share/doc/hadoop/hadoop-hdfs-httpfs/apidocs/src-html/org/apache/hadoop/home/myhaspl/hadoop-2.4.1/share/doc/hadoop/hadoop-hdfs-httpfs/apidocs/src-html/org/apache/hadoop/lib/service/ Hadoop/home/myhaspl/hadoop-2.4.1/share/doc/hadoop/hadoop-h

foundation of mathematics, so that students can not be brought into the right path. At least as a class student, I feel that way. The result is a sense that the course is independent of one area and is very isolated. From some foreign books can be seen, machine learning is actually a multi-disciplinary derivative, and a lot of engineering field theory has a close connection, so that at least let us this be

Path to mathematics-python computing practice (11)-machine vision-Image Enhancement-python practice In the computer field, Gray scale digital images are images with only one sampling color per pixel. This type of image is usually displayed as a gray scale from the shortest black to the brightest white, although theoretically this sample can be of different colors or even different colors on different bright

expression:The expression of the above-loaded J is obtained:Then using the Laplace multiplier (a little bit here), we can get the expression of the projection base we want:Here is another characteristic value expression, we want the first m vector is actually here the largest m eigenvalues corresponding to the eigenvector. Prove this can also see, we J can be translated into:That is, when the error J is composed of the smallest d-m eigenvalues, J obtains the minimum value. It's the same as the

expression:The expression of the above-loaded J is obtained:Then using the Laplace multiplier (a little bit here), we can get the expression of the projection base we want:Here is another characteristic value expression, we want the first m vector is actually here the largest m eigenvalues corresponding to the eigenvector. Prove this can also see, we J can be translated into:That is, when the error J is composed of the smallest d-m eigenvalues, J obtains the minimum value. It's the same as the

transferred from: Http://www.cnblogs.com/LeftNotEasy Author: leftnoteasy regression and gradient descent: Regression in mathematics is given a set of points, can be used to fit a curve, if the curve is a straight line, that is called linear regression, if the curve is a two-time curve, is called two regression, regression there are many variants, such as locally weighted regression, logistic regression , wait, this is going to be in the back. Using

(such as GBDT) are typical of the method, today mainly talk about the gradient boosting method (this is a little different from the traditional boosting) some mathematical basis, With this mathematical basis, the application above can be seen Freidman gradient boosting machine.This article requires the reader to learn basic college mathematics, as well as the basic machine learning concepts of classificati

, it is not to starve the descendants of future generations? OK, you go back, I'm tired too. ”Xiao Wei said: "Teacher, I have one last question." Ask the teacher to answer. The number of these methods is so numerous that the monks were notNever had a chance to finish it all? After all, everyone's energy is limited. ”[People challenged the teacher] smiled and said: "You are so smart, this problem you have already had the answer, right." If it weren't forLike, how can have two weeks eye, three wee

operation. Input The first line contains two positive integers, N and M, indicating the size of the star. The next n rows contain m natural numbers: iniij, which depicts the first State (INI ). In the N rows after an empty row, each row contains m natural numbers: finij, which depicts the final state (FIN ). Output Output a positive integer, indicating the magic at most.Sample input [input Example 1] 5 5 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 1 0 0 2 0 0

abacus, which shows that China in the field of mathematics has always been ahead of the world. Like an abacus, this computing tool needs to be manipulated by people, and not only inefficient but also prone to error in large computations. As a result, it is natural for people to realize a mechanical computer. The world's first mechanical computer was invented by the Frenchman Passaca in 1642. Pascal, a very familiar name. is the pressure unit in physi

Sample=cutstring (U) It is learnt that the car is nicknamed the Beast and the Beast is likely to be used in January 2017 when the 45th President of the United States took office. At present, the detailed specifications of the beast are classified information, but spy photos show the Beast adopted the Cadillac's latest grille and headlight design. ") tokenstr=nltk.word_tokenize (sample) FDIST3=NLTK. Freqdist (tokenstr) print "---the number of U.S. occurrences---" Print fdist3[u "us"]print "---sam

to measurable mappings? We take the Bernoulli distribution as an example to introduce the implicit relationship.Bernulli Distribution of PMF (probabilistic Mass Function) isThat is, when the probability of X=1 is P, when the probability of x=0 is 1-p.Make sample space ω=[0,1], according to the Lebesgue measure, Pr ([A, b]) =b-a, wherein 0≤aSo, PR (x=1) = PR (ω≤p) = PR ([0,p]) = p; Pr (x=0) =1-p.Based on the above introduction, we can find that in the daily learning, in fact, it is omitted to ma