machine learning c# book

Fortunately with the last two months of spare time to "statistical machine learning" a book a rough study, while combining the "pattern recognition", "Data mining concepts and technology" knowledge point, the machine learning of some knowledge structure to comb and summarize

each other. Instead of two different variables with the same value. For example: $name _1 = "Manfred von Richtofen"; $name _2 = "Percy Blakeney"; $alias _1 = $name _1;//variable with the same value $alias _2= $name _2;//variable $alias _1 = "the Red Baron";//The actual name has not changed $alias _2 = "the Scarlet Pimpernel";//whatever it is doesn't matter anymore. Prnt ("$alias _1 is $name _1 Prnt ("$alias _2 is $name _2 The above code will get a browser output like this: The Red Baron

pointers to functions A, a integer argument and return an integerI agree that there are a number of questions that people often claim are the kind of questions that need to be answered by flipping a book. When I wrote this article, I did check the book in order to determine the correctness of the grammar.But when I was interviewed, I expected to be asked the question (or similar question). Because during t

of the update will be less frequent, resulting in the optimization process is too long. So mini-batch size, not static, according to your data set size, your device computing ability to choose. The the-Go is therefore-use some acceptable (but not necessarily-optimal) values for the other hyper-parameters, and Then trial a number of different mini-batch sizes, scalingηas above. Plot the validation accuracy versus time (as in, real elapsed time, not epoch!), and choose whichever mini-bat

variables. In other words, you do not need to enter a literal name in the program code, but you can enter a variable starting, the actual call function depends on the string specified for the variable. In a sense, this allows the function to be used as data. This technique may be very familiar to Price C language programmers, as well as for beginners of any type of Lisp language (such as Scheme or Common Lisp. For example, the following two function

line (the current line); P: Print, that is, print out a selected data. Normally p will run with parameter sed-n ~s: Replace, can be directly replaced by work! Usually this s action can be paired with formal notation! For example 1,20s/old/new/g is! EG:NL Regular.txt | Sed ' 2,5d '//delete second to fifth line, the action behind SED must be "extended"NL Regular | Sed ' 2a add hello ' after the second line adds dataNL Regular | Sed ' 2,5c change 2 to 5 line content ' replaces the contents of 2-5

Because there is a very detailed online blog, so this section will not write their own, write can not write others so good and thorough.jerrylead Support Vector Machine series:Support Vector Machine (i): http://www.cnblogs.com/jerrylead/archive/2011/03/13/1982639.htmlSupport Vector Machine (ii): http://www.cnblogs.com/jerrylead/archive/2011/03/13/1982684.htmlSupp

If you only want to read a book, then recommend Bishop's Prml, full name pattern recognition and Machine Learning. This book is a machine learning Bible, especially for the Bayesian method, the introduction is very perfect. The

After 2 months of knowledge of machine learning. I've found that machine learning has a variety of directions. Page sort. Speech recognition, image recognition, recommender system, etc. Algorithms are also varied. After seeing the other books, I found that except for the K-mean clustering. Bayesian, neural network, onl

prefix of the octal place integer is "0", and the prefix of the hexadecimal place is "0x 」. Any format can be prefixed with the "-" symbol to convert the integer to a negative number. For example: $ Integer_10 = 1000; $ Integer_8 =-01000; $ Integer_16 = 0x1000; Print ("integer_10: $ integer_10 "); Print ("integer_8: $ integer_8 "); Print ("integer_16: $ integer_16 "); Its browser output is: Integer 10: 1000 Integer_8:-512 Integer_16: 4096 (Note that the read format only affects how i

; $integer _8 =-01000; $integer _16 = 0x1000; Print ("Integer_10: $integer _10 ”)； Print ("Integer_8: $integer _8 ”)； Print ("Integer_16: $integer _16 ”)； Its browser output is: integer_10:1000 Integer_8:-512 integer_16:4096 (Note that the read format only affects how the integer is read, and the value stored in the $integer_8 does not note that it was originally written in base 8.) People, from the inside, of course, these numbers are represented in binary, and the most output is a 10

generalization error;Easy to explain;Low computational complexity;Disadvantages:It is sensitive to the selection of parameters and kernel functions;The original SVM is only better at dealing with two classification problems;Boosting:Mainly take AdaBoost as an example, first look at the flow chart of AdaBoost, as follows:As you can see, we need to train several weak classifiers during training (3 in the figure), each weak classifier is trained by a sample of different weights (5 training samples

1, Xiao Wei's practice road Http://blog.csdn.net/xiaowei_cqu 2, Morning Chenyusi far (Shi Yuhua Beihang University) Http://blog.csdn.net/chenyusiyuan 3, Rachel Zhang (Zhang Ruiqing) 's blog Http://blog.csdn.net/abcjennifer 4. ZOUXY09 (Shaoyi) http://blog.csdn.net/zouxy09 (deep learning, image segmentation, Kinect development Learning, compression sensing) 5, Love CVPR HTTP://BLOG.CSDN.NET/ICVPR 6, focus on

I. Introduction of the Course Straight to the point, before learning a stupid want to ask everyone, about WebService remote Procedure call Technology (RPC) you really do? Don't talk to the old man. WebService technology is outdated, if you secretly tell you in fact I really do not webservice words, then congratulations, because you in the boundless it programming world found this "C # Remote Call techno

I. Introduction of the Course Straight to the point, before learning a stupid want to ask everyone, about WebService remote Procedure call Technology (RPC) you really do? Don't talk to the old man. WebService technology is outdated, if you secretly tell you in fact I really do not webservice words, then congratulations, because you in the boundless it programming world found this "C # Remote Call techno

the case of linear SVM above, there are ? (Yi,wtxi) =max (0,1?YIWTXI) This is called Hinge Loss. As in the logistic regression, loss function is defined as ? (Yi,wtxi) =log (1+e?yiwtixi) Omega is commonly referred to as regularization (Regularizer), the most commonly used is the previous one? 2-norm, writing WTW, can also write ∥w∥22, that is, the sum of squares of all elements in the vector W. In addition to the 2-norm, 1-norm often uses regularizer and brings some special effects (discussed l

,m)) return jdef clipAlpha(aj,H,L): if aj > H: aj = H if L > aj: aj = L return ajdef smoSimple(dataMatIn, classLabels, C, toler, maxIter): dataMatrix = mat(dataMatIn); labelMat = mat(classLabels).transpose() b = 0; m,n = shape(dataMatrix) alphas = mat(zeros((m,1))) iter = 0 while (iter The running result is shown in figure 8: (Figure 8) If you are interested in the above code, you can read it. If you use it

Reprinted from: Http://www.cnblogs.com/shishanyuan/p/4747761.html?utm_source=tuicool1. Machine Learning Concept1.1 Definition of machine learningHere are some definitions of machine learning on Wikipedia:L "Machine

Support Vector Machine (SVM) is an original and not combinatorial classification algorithm with obvious visual geometric meaning, which has high accuracy. The idea of using SVM algorithm: (1) Simple situation, the linear can divide the problem into a convex optimization problem, which can be simplified by Lagrange multiplier method, and then solved by the existing algorithm, (2) The complex condition, the linearity is not divided, the sample is projec

Machine Learning-multiple linear regression and machine Linear Regression What is multivariate linear regression? In linear regression analysis, if there are two or more independent variablesMultivariable linear regression). If we want to predict the price of a house, the factors that affect the price may include area, number of bedrooms, number of floors, and ag