2 dokumenter merket med "#machine-learning/ml-engineering"

As you can see from the above image, confident learning is about estimating the likelyhood of the data being labeled correctly based upon the confidence of the model. If the model confidence is above the threshold confidence (The Tj parameter, tdog, tfox tcow) and if the confidence of the model prediction is higher than the threshold but the label is different, then we predict a wrong label

This book is about the practical implementation of machine learning models. It goes through why machine learning should be used, how to implement it, and how to execute in all phasers of the machine learning life-cycle.