A brief introduction to Learning _note1 against Sample machine
Machine learning methods, such as SVM, neural network, etc., although in the problem such as image classification has been outperform the ability of human beings to deal with similar problems, but also has its in
Learning the learning notes series of OpenCV (2) source code compilation and sample projects, opencv learning notesDownload and install CMake3.0.1
To compile the source code of OpenCV2.4.9 by yourself, you must first download the
decision trees (decision tree) 4
Cited examplesThe existing training set is as follows, please train a decision tree model to predict the future watermelon's merits and demerits.Back to Catalog
What are decision trees (decision tree) 5
Cited examplesThe existing training set is as follows, please train a decision tree model to predict the future watermelon's merits and demerits.Back to Catalog
What are decision trees (decision tree) 6
-GROWTH algorithm to efficiently discover frequent itemsets
Part IV Other tools
13.) Use PCA to simplify data
14.) Simplify data with SVD
15.) Big Data and MapReduce
Part V Project Combat (non-textbook content)
16.) Recommendation System
Periodic summary
Summary of the first phase of 2017-04-08_
Appendix A, getting Started with Python
Appendix B Linear Algebra
Appendix C Review of probability theory
Appendix D Resources
') ->whereNull('first_name');$users = DB::table('users') ->whereNull('last_name') ->union($first) ->get();
Similarly,unionAllThe method is also usable, and the parameters are the same as those of union.Where query conditions
Simple wehere condition #
The where method is used to add the where condition to the query. this function generally requires three parameters: column name, operator (any operator supported by the database), and column value.
$users
('Ouside_func:', names)#run to view execution resultsExample: a dead global variable definitionMaybe you'll see this way somewhere else, forget it, and you can't use this method, which is not good for debugging in logically complex code, even if it's your own code.# It is not recommended to use this method def chang_name (): Global name ' Zhangsan ' chang_name ()print(name)Example: using recurs
the view layer, all this allows us to the front end of the processing of data directly to the backstage, You can even refresh the page without having to. All, this can reduce a lot of code, greatly improving the development efficiency of Web applications.Here is an example of the first angularjs I wrote:Hello.htmlDOCTYPE HTML>HTMLNg-app= "Hello">Head> title>Hellotitle> Scripttype= "Text/javascript"src= "Javascripts/angular.min.js">Script> Sc
In the previous article, we talked about the malicious sample bypassing the driver firewall mechanism. Next we will explain how the sample uses this Driver Vulnerability to escalate kernel privileges. Please make an axe to the wrong part.
To prevent Trojan viruses, most Internet cafes have installed system restoration software to intercept unknown drivers by obtaining the R0 permission first. In this way, T
for xml document verification. XML Schema provides more powerful functions than DTD andMore fine-grained data typesAnd the Schema can also customize the data type, which is an xml file, but the dtd syntax is different from the xml syntax. Although the Schema is larger than the dtd in terms of code, you will prefer Schema after learning the Schema.
Learning xml a
Get started with jqueryMoblie: learning the sample code of HelloWorld. If you are interested, please take a look.
1. Run JQuery MobileMobile Application page, need to download JQuery Mobile 3 related plug-in files ( ), jquery.mobile-1.2.0.min.css, jquery-1.8.3.min.js, jquery. mobile-1.2.0.min.js, JQuery Mobile official website address: http://jquerymobile.com
2.
Java Consistent Hash algorithm learning notes (sample code), consistenthash
This article focuses on the ConsistentHashing algorithm code.Consistent Hash
The consistent hash algorithm was proposed by the Massachusetts Institute of Technology (see 0) in 1997. It was designed to solve the Hot pot problem on the Internet. Its original intention was similar to CARP. C
);byte[] rcvbytes = Udpclient.receive (refendPoint);stringRcvmessage = Encoding.ASCII.GetString (Rcvbytes,0, rcvbytes.length);//should print out "Hello Echo Server"Console.WriteLine (Rcvmessage);The UdpClient class and the TcpClient class provide an abstraction layer on the lowest-level socket classThe socket class provides the highest level of control in network programmingOverriding the Tcpreceive application with the socket class Public voidListen () {Socket listener=NewSocket (ADDRESSFAMILY.
__name__ ' __main__ ' : src.run ()Set log path (and database path) in 3.conf/settings.pyThe same is the dynamic access to the root directory of software, and then stitching to the specified directory of the software log to solve the migration problemImport osbase_dir=os.path.dirname (os.path.dirname (__file__'log' ' Transaction.log ')A general method of 4.lib/common.py from Import Settings Import Time def Logger (msg): With open (settings. Transaction_log_path,'at', encoding='utf-8' As F
. summaries.py includes an auxiliary function to generate the day to record, summaries_test.py is one of its tests, using the example below:
Import TensorFlow as TFSlim = Tf.contrib.slim
Slim.summaries.add_histogram_summaries (Slim.variables.get_model_variables ())Slim.summaries.add_scalar_summary (Total_loss, ' total loss ')Slim.summaries.add_scalar_summary (learning_rate, ' learning rate ')Slim.summaries.add_histogram_summaries (my_tensors)Slim.summ
): # Extend the Input feature vector as a feature matrix linenum = featurematrix.shape[0] featurematrixin = Np.tile ( Featurevectorin, (linenum,1)) # Calculate the Euclidean distance between the matrix Diffmatrix = featurematrixin -Featurematrix Sqdiffmatrix = Diffmatrix * * 2 Distancevaluearray = Sqdiffmatrix.sum (Axis=1) Distancevaluearray = Distancevaluearray * * 0.5 return DistancevaluearrayUsed in the numpy of the more distinctive things. The practice is to first
each parameter corresponding to 44 is the value of J_vals (i,j) end46 end47 j_vals = J_vals ';% Surface plot49 Figure;50 Surf (theta0_vals, theta1_vals, j_vals)% draws an image of the parameter and loss function. Pay attention to use this surf compare egg ache, surf (x, y, z) is such, Wuyi%x,y is a vector, Z is a matrix, with X, Y paved grid (100*100 point) and Z of each point 52 to form a graph, but how to correspond to where, the egg hurts is, The second element of your x with the first eleme
one, linear can be divided into SVM
The SVM algorithm is originally used to deal with two classification problems, and is a kind of supervised learning classification algorithm.
For the linear Two classification problem, we can find an infinite number of super-planes and distinguish the two types of samples. (Hyper-Plane: a dimension is a point; two-dimensional is a line; three-dimensional is a face ...)
In the above multiple superelevation planes,
, or K nearest neighbor (Knn,k-nearestneighbor) classification algorithm, is one of the simplest methods in data mining classification technology. The so-called K nearest neighbor is the meaning of K's closest neighbour, saying that each sample can be represented by its nearest K-neighbor.The core idea of the KNN algorithm is that if the majority of the k nearest samples in a feature space belong to a category, the
is the custom of naming in Python? I found that if the variable name was completely expanded, it would be too long-my MacBook Pro was too ugly to show up. This is followed by the variable shorthand naming of C + +.V. Entrance Call functionThe main function, similar to C + +. As soon as you run the knn.py script, the code is executed first:if __name__ = = ' __main__ ': print "You are running knn.py " CLASSIFYSAMPLEFILEBYKNN (' datingSetOne.txt '
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