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The Latest Advances in Classification With Too Many Labels
At ODSC London 2018, Dr. Michael Swarbrick Jones, Ph.D. gave a technical lecture on the latest in large-scale multilabel classification and how practitioners should be managing their hyperparameters and data to get the most out of their models, focusing specifically on problems where there are thousands or tens of... Read more
In a recent post, I offered a definition of the distinction between data science and machine learning: that data science is focused on extracting insights, while machine learning is interested in making predictions. I also noted that the two fields greatly overlap: I use both machine learning and data science... Read more