Hi everyone! One of the creators of DFL here. In an attempt to more deeply understand fundamental concepts in machine learning, we designed Depth First Learning. It's a pedagogy for diving deep into machine learning by carefully tailoring a curriculum around a particular paper or concept and leading small, focused discussion groups. So far, we’ve created guides for InfoGAN, TRPO, AlphaGoZero, and DeepStack.<p>Since our launch, we’ve received very positive feedback from students and researchers. Now, we want to run new, online classes around the world.<p>We intimately understand that the process of curating a meaningful curriculum with reading materials, practice problems, and instructive discussion points can be very rewarding, but also time-consuming and difficult. We wanted to make sure that the people compiling the content understood that their efforts were well worth their time and consequently decided to launch a fellowship program.<p>Thanks to the generosity of Jane Street, we will provide 4 fellows with a $4000 grant each to build a 6 week curriculum and run weekly on-line discussions.<p>If you’d like to lead a class about an important paper in machine learning, please visit <a href="http://fellowship.depthfirstlearning.com" rel="nofollow">http://fellowship.depthfirstlearning.com</a> to apply. We look forward to hearing from you, and I'm happy to answer any questions about it!