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Distill – Dedicated To Clear Explanations of Machine Learning

Posted by Marcus Zillman

Distill – Dedicated To Clear Explanations of Machine Learning
https://distill.pub/

Machine Learning Research Should Be Clear, Dynamic and Vivid. Distill Is Here to Help. Features include: a) A modern medium for presenting research – The web is a powerful medium to share new ways of thinking. Over the last few years we’ve seen many imaginative examples of such work. But traditional academic publishing remains focused on the PDF, which prevents this sort of communication; b) New ways of thinking enable new discoveries – New notations, visualizations, and mental models can deepen our understanding. By nurturing the development of such new ways of thinking, Distill will enable new discoveries; c) Machine learning needs more transparency – Machine learning will fundamentally change how humans and computers interact. It’s important to make those techniques transparent, so we can understand and safely control how they work. Distill will provide a platform for vividly illustrating these ideas; d) Legitimacy for non-traditional research artifacts – Many researchers want to do work that is not easily contained within a PDF, but can’t get the support they need to pursue it. We, as the research community, are failing them by not treating these wonderful, non-traditional research artifacts as “real” academic contributions; and e) Clear writing benefits everyone – When we rush papers out the door to meet conference deadlines, something suffers — often it is the readability and clarity of our communication. This can add severe drag to the entire community as our readers struggle to understand our ideas. We think this ”research debt″ can be avoided. This will be added to Artificial Intelligence Resources Subject Tracer™. This will be added to Business Intelligence Resources Subject Tracer™. This will be added to Entrepreneurial Resources Subject Tracer™. This will be added to the tools section of Research Resources Subject Tracer™.

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