DataHour: Introduction to Positive Unlabelled(PU) Learning
DataHour: Introduction to Positive Unlabelled(PU) Learning
04 Nov 202213:11pm - 04 Nov 202214:11pm
DataHour: Introduction to Positive Unlabelled(PU) Learning
About the Event
Positive-Unlabelled (PU) learning is a Machine Learning approach to Binary Classification where the training data comprises positive instances as well as an additional unlabeled data that might contain positive and negative instances in unknown proportions. Positive-unlabeled learning methods aim to incorporate this unique scenario into the learning process, in a way that improves generalization of the learned representations of the positive class, when compared to simply treating all unlabelled instances as purely negative instances, or alternatively discarding them and training a one-class classifier over only the positive samples.
In this DataHour Chandra will explain all about Positive Unlabelled learning including its basics, use and practical applications.
Prerequisites: Interest in learning Data Science and Basic understanding of Machine Learning, Supervised Classification.
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
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