Eugene Yan has launched ApplyingML.com, a site born from informal mentoring conversations he had with practitioners. What began as one-on-one guidance has expanded into a public archive of more than two dozen interviews, each capturing the experiences and insights of people working in machine learning.
The interviews focus on the practitioners' own journeys—how they got into the field, what they learned along the way, and the advice they would give to others. By turning private mentorship into a shared resource, the site aims to make that guidance accessible to a wider audience.
Since this is a single source, there are no conflicting accounts to compare. The announcement itself frames the project as a natural evolution of informal mentoring, and the content appears to emphasize practical, field-tested knowledge over abstract theory.