projectsomewhere
My random collection of virtual things
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Interesting read about the recommendations at Netflix
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An interesting new source of data to leverage for Narrative Science
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Downloading a bunch of them to watch
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Mulan is an open-source Java library for learning from multi-label datasets. Multi-label datasets consist of training examples of a target function that has multiple binary target variables. This means that each item of a multi-label dataset can be a member of multiple categories or annotated by many labels (classes). This is actually the nature of many real world problems such as semantic annotation of images and video, web page categorization, direct marketing, functional genomics and music categorization into genres and emotions.
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(neuro)science with state of the art machine learning and data visualization
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In less than a week, Martin O’Leary, a PhD student in glaciology, had crafted an algorithm that outperformed the state-of-the-art algorithms most commonly used in astronomy for mapping dark matter.
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Saw this a while back it’s some nice visualisations of machine learning algorithms
