Informal Mentors Grew into ApplyingML.com!
Eugene Yan
ApplyingML.com was created as a website to document practical knowledge about applying machine learning in real-world settings, addressing the gap between ML theory and actual workplace implementation. The site combines curated papers, blogs, guides, and interviews with ML practitioners, drawing from informal mentorship and hands-on experience that is rarely found in textbooks or courses. The resource aims to help organizations and teams more effectively implement ML by making tacit knowledge about applied machine learning more accessible and discoverable.
Why it matters
More than two dozen interviews with ML Practitioners sharing their stories and advice
