AdaBoost w/ JAVA

AdaBoost w/ JAVA (Tutorial 01)

prototypeprj.com = zaneacademy.com (version 2.0)

00:06 demo prebuilt version of the application  01:00 overall classifier classifies all data items correctly after 3 rounds  02:16 go over the discovered weak classifiers  04:14 classify a couple of new data items  05:13 code the application  05:33 go over the classes in this application  06:36 setup as JavaFX app.  07:00 define and pickup application training  data as commons math library matrices  09:06 quick introduction to Boosting  10:21 start with same weight w for all data items  10:29 logic to be executed at every round  10:30 sum of weights must add up to 1  10:36 calculate error rate for each weak classifier  10:50 pickup weak classifier with the lowest error rate  10:56 calculate alpha for the picked upweak classifier  11:03 recalculate the weights w  11:13 terminate successfully if the overall classifier classifies all data items correctly  11:29 go over weak classifier functionality while coding TreeTrunk class  20:57 code AdaBoost class  21:02 train method will contain logic that is executed at every round  23:02 method to pickup the best weak classifier  23:40 method that calculates alpha for the best weak classifier  24:09 method to recalculate the weights w  24:29 utility methods for matrix operations  25:19 calculate the sum of the weighted weak classifiers  28:30 classify new data item method  28:50 DisplayHelper code  29:44 finish coding Driver class  30:34 JavaFX code  32:15 test run completed application ---------------------------------------------------------------------------------------------------------------------------- quickly download, import into Eclipse, and run zip file for 'AdaBoost w/ JAVA (Tutorial 01)' --------------------------------------------------------------------------------------------------------------------------- ----------------------------------------------------------------------------------------------------------- download source code @ https://sites.fastspring.com/prototypeprj/instant/2020 download source code @ https://sites.fastspring.com/prototypeprj/instant/all -----------------------------------------------------------------------------------------------------------

AdaBoost w/ Python

AdaBoost w/ Python (Tutorial 01)

prototypeprj.com = zaneacademy.com (version 2.0)

00:06 demo a prebuilt version of the application  03:40 code the application  03:53 go over the training data used in this application  04:25 go over the various classes making the application  05:33 go over boosting  06:37 go over data classification with AdaBoost  07:41 explain + code the TreeTrunk classifier class  12:35 explain + code the AdaBoost class  18:15 explain + code the DisplayHelper class  19:22 explain + code the handle_command_line entry function  19:45 write the app. driving code  20:35 test run the application ---------------------------------------------------------------------------------------------------------------------------- quickly download, setup, and run 'AdaBoost w/ Python' ----------------------------------------------------------------------------------------------------------------------------- ----------------------------------------------------------------------------------------------------------- download source code @ https://sites.fastspring.com/prototypeprj/instant/2020 download source code @ https://sites.fastspring.com/prototypeprj/instant/all -----------------------------------------------------------------------------------------------------------