John Schulman's Homepage - An Opinionated Guide to ML Research
Posted on 2020/01/24 ← back to blog index I originally wrote this guide in back in December 2017 for the OpenAI Fellows program In this essay, I provide some advice to up-and-coming researchers in machine learning (ML), based on my experience doing research and advising others. The advice covers how to choose problems and organize your time. I also recommend the following prior essays on similar topics: You and Your Research by Richard Hamming Principles of Effective Research by Michael Nielsen My essay will cover similar ground, but it’s more tuned to the peculiar features of ML. The keys to success are working on the right problems, making continual progress on them, and achieving continual personal growth. This essay is comprised of three sections, each covering one of these topics. Exercise . Before continuing, it’s useful to spend a few minutes about which findings and achievements in ML have been most interesting and informative to you. Think about wh...