Randomized experimentation

One good thing about doing machine learning at present is that people actually use it! The back-ends of many systems we interact with on a daily basis are driven by machine learning. In most such systems, as users interact with the system, it is natural for the system designer to wish to optimize the models under the hood over time,…
Original post: Randomized experimentation
Source: Machine Learning (Theory)

Extreme Multi-Label Classification

Reminder: there is still time to submit to the Extreme Classification Workshop at ICML this year.Multi-label classification is interesting because it is a gateway drug to structured prediction. While it is possible to think about multi-label as multi-class over the power set of labels, this approach falls apart quickly unless the number of labels is small or the number of…
Original post: Extreme Multi-Label Classification
Source: Machined Learnings