Support Vector Machines (SVM) w/ Sequential Minimal Optimization (SMO) +Python

Support Vector Machines w/ Python & SMO (Sequential Minimal Optimization)

prototypeprj.com = zaneacademy.com (version 2.0)

00:06 demo a prebuilt version of the application  01:37 code the application  01:49 go over the training data used in this app.  02:47 go over the various classes that make up the app.  03:26 quick introduction to Support Vector Machine (SVM)  04:58 quick introduction to Sequential Minimal Optimization (SMO)  06:02 code the SupportVectorMachines class  07:24 plug in equation for 'w' into equation of a linear svm  and use resulting equation in code  08:08 EPSILON and slack penalty C  08:30 alpha and violating KKT conditions 09:34 selecting the index of the 2nd alpha to optimize  11:30 optimize an alpha pair and b  13:15 define and calculate w  13:37 classify method  14:00 display information tables code  14:40 handle command line entry code  14:49 plot data + decision boundary + support vectors code  15:34 explain + test run application  16:40 change C and rerun app. to show overfitting ---------------------------------------------------------------------------------------------------------------------------- quickly download, setup, and run 'Support Vector Machines (SVM)  w/ Sequential Minimal Optimization (SMO) + Python' ----------------------------------------------------------------------------------------------------------------------------- ----------------------------------------------------------------------------------------------------------- download source code @ https://sites.fastspring.com/prototypeprj/instant/ai -----------------------------------------------------------------------------------------------------------