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.

Since our launch, we’ve received very positive feedback from students and researchers. Now, we want to run new, online classes around the world.

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.

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.

If you’d like to lead a class about an important paper in machine learning, please visit http://fellowship.depthfirstlearning.com to apply. We look forward to hearing from you, and I'm happy to answer any questions about it!