Lots of Data, No Labels, Now What?
Blogs from ODSC SpeakersConferencesModelingLabeled DataWest 2019posted by Paolo Tamagnini September 30, 2019
Editor’s Note: Interested in learning about the problem of: lots of data, no labels? See Paolo’s talk “Guiding AI to Generate the Labels we do not have with Active Learning” at ODSC West 2019. Let me tell you about a common stereotypical data story in many... Read more
The Data Scientist’s Holy Grail – Labeled Data Sets
ModelingTools & LanguagesWorkflowLabeled DataMachine Learningposted by Daniel Gutierrez, ODSC December 14, 2018
The Holy Grail for data scientists is the ability to obtain labeled data sets for the purpose of training a supervised machine learning algorithm. An algorithm’s ability to “learn” is based on training it using a labeled training set – having known response variable values that... Read more