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hello in this video i'm going to show the uploader a workflow used to create machine learning classifier skills its main goal is to upload to an ai standard data set files to be used in the skill creation and also organize the data set by the types defined in the taxonomy so let's go to the workflow ok here we have the uploader and basically it follows the same structure of the workflow from the document understanding videos up to the point of the classification but with some changes i'm gonna talk about them in a minute so the first thing i want to point is that in the document understanding videos i only define one type of document in the taxonomy for the mlsq creation we need to define at least one more document type so this is the first change that i made here in the taxonomy we have two new document types phone bills from qing and electricity bills from light all of them have the same fields from the seg document type okay we can close it and now to the second change i made it's here in the classification step basically we are not using the machine learning classifier but instead the intelligent keyword based classifier along with obviously the press rings for the two new types of document light and chain and here's sag so we can save it and here in the main workflow we have the biggest change we made we added this new box here the trinkles fire one here is where the documents are going to be uploaded to the data set and also organized let me open it quickly so here we are using the train classifier scope that has some inputs that are very familiar to us the document path document text the document object model the human validated classification data and the taxonomy this classification data here right we get it from the after the validation station appears to us or if none no validation is needed we also get it right from these two steps here okay and inside it we have the machine learning classifier trainer here is where the documents are uploaded to the data set it only has two inputs the project in ai center that we are using and also the data set inside the project so this leads us to the first step that needs to be made we have to create a data set here in ai center a empty data set i have here mine uploader demo we can see that it's empty and okay this means we can continue right so we must now open here the configure classifiers tab and here we must define the folders in which these documents from these types will be stored in the data set so originally these boxes are empty and we must only fill them with the corresponding names so for the sag documents we're going to have the...