unsupervised machine learning tutorial

Machine Learning-Overview of common matlab programming commands -- Summary from ng-ml-class octave/MATLAB tutorial CourseraA. basic operations and moving data around1 in command line mode, you can use Shift + press enter to append the next line to output 2 length command to apply to the matrix, and return a higher one-dimensional dimension3 help + command is the

endfunction Initializes the matrix for the preceding dataset. Call a function to calculate the value of the cost function. 1> X = [1 1; 1 2; 1 3]; 2> Y = [1; 2; 3]; 3> Theta = [0; 1]; % records is 0, 1 h (x) = x. The value of the cost function is 04> J = costfunctionj (X, Y, theta) 5 J = 0. 1> Theta = [0; 0]; % values is 0, 0 h (x) = 0. data cannot be fitted at this time. 2> J = costfunctionj (X, Y, theta) 3 J = 2.33334 5> (1 ^ 2 + 2 ^ 2 + 3 ^ 2)/(2*3) % value of the cost function 6 ans = 2

Fourth Lesson plotting Data Drawing Datat = [0,0.01,0.98];y1 = sin (2*pi*4*t);y2 = cos (2*pi*4*t);Plot (t,y1);( drawing Figure 1)Hold on; ( Figure 1 does not disappear) Plot (T,y2, ' R ');( draw in red Figure 2)Xlable (' time ') ( horizontal axis name)Ylable (' value ') ( vertical axis name)Legend (' Sin ', ' cos ')(labeled two function curves)Title (' My Plot ')Print-dpng ' Myplot.png ' ( save image)CD '/home/flipped/desktop ' Print-dpng ' myplot.png ' ( save image to desktop)Close(image off)La

Training Big Data architecture development, mining and analysis!from zero-based to advanced, one-to-one training! [Technical qq:2937765541]--------------------------------------------------------------------------------------------------------------- ----------------------------Course System:get video material and training answer technical support addressCourse Presentation ( Big Data technology is very wide, has been online for you training solutions!) ):Get video material and training answer

mathematical statistics to achieve the training machine, usually the parameters of the model are some mean square poor statistical characteristics, and ultimately make the prediction of the correct probability of the greatest expectations. A good learning machine model should have excellent expression approximation ability, easy programming implementation, param

: learning, extracting features, identifying and classifying. Because the machine can not be the same as the human thinking according to the characteristics of the natural choice of classification method, so the choice of machine learning methods still need to choose manually. At present, there are three main methods o

This column (Machine learning) includes single parameter linear regression, multiple parameter linear regression, Octave Tutorial, Logistic regression, regularization, neural network, machine learning system design, SVM (Support vector machines Support vector

different from the two people, each microphone records different combinations of voices from two people. Maybe the sound of a sounds a bit louder in the first microphone, maybe B's sound will be louder in the second microphone because the position of the 2 microphones is different from the 2 speakers, but each microphone will record the sound from the overlapping portions of the two speakers. So what we can do is to put these two recordings into an unsuper