Metacademy is built around an interconnected web of concepts, each one annotated with a short description, a set of learning goals, a (very rough) time estimate, and pointers to learning resources. The concepts are arranged in a prerequisite graph, which is used to generate a learning plan for a concept. In this way, Metacademy serves as a sort of \u201cpackage manager for knowledge.\u201d<\/p>\n
Currently, most of our content is related to machine learning and probabilistic AI; for instance, here are the learning plan<\/a> and graph<\/a> for deep belief nets.<\/p>\n Metacademy also has wiki-like documents called roadmaps<\/a>, which briefly overview key concepts in a field and explain why you might want to learn about them; here\u2019s one we wrote for Bayesian machine learning<\/a>.<\/p>\n Many ingredients of Metacademy are drawn from pre-existing systems, including Khan Academy<\/a>, saylor.org<\/a>, Connexions<\/a>, and many intelligent<\/a>\u00a0tutoring<\/a>\u00a0systems<\/a>. We\u2019re not trying to be the first to do any particular thing; rather, we\u2019re trying to build a tool that we personally wanted to exist, and we hope others will find it useful as well.<\/p>\n Granted, if you\u2019re reading this blog, you probably have a decent grasp of most of the concepts we\u2019ve annotated. So how can Metacademy help you? If you\u2019re teaching an applied course and don\u2019t want to re-explain Gibbs sampling<\/a>, you can simply point your students to the concept on Metacademy. Or, if you\u2019re writing a textbook or teaching a MOOC, Metacademy can help potential students find their way there. Don\u2019t worry about self-promotion: if you\u2019ve written something you think people will find useful, feel free to add a pointer!<\/p>\n We are hoping to expand the content beyond machine learning, and we welcome contributions. You can create a roadmap to help people find their way around a field. We are currently working on a GUI for editing the concepts and the graph connecting them (our current system<\/a>\u00a0is based on Github pull requests), and we\u2019ll send an email to our registered users once this system is online. If you find Metacademy useful or want to contribute, let us know at feedback _at_ metacademy _dot_ org.<\/p>\n","protected":false},"excerpt":{"rendered":" In recent years, there\u2019s been an explosion of free educational resources that make high-level knowledge and skills accessible to an ever-wider group of people. In your own field, you probably have a good idea of where to look for the answer to any particular question. But outside your areas of expertise, sifting through textbooks, Wikipedia … <\/p>\n![\"the](\"http:\/\/i.imgur.com\/0aW8fet.png\")
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