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main tasks in machine learning is the one is classification this asks the question in which class is a given object so given individual and the second one is regression which gives which asks the question which target value belongs to an object so for example which age will uh individual has has or um how long does it take to some until some event occurs yeah this is a number that the algorithm gives out and the data set that is used for for as an input is usually divided into a training data set that is used for training um this is uh is training the predictor the predictor is the model kind of an algorithm that gives the prediction that solves the task and this model needs to be trained by the training data set and then it can be validated with the validation data set and the model can be updated from from what weve learned from the validation data set so some hyper parameters its called can adjust the model can can be updated and this is usually 20 of all data and then we have a
