Stanford CS229 Machine Learning Advice

I was recently asked to step in a “guest lecturer” for Stanford’s CS229 Machine Learning (ML) course. The topic was “ML Advice”, so I asked around and crowdsourced many great comments from people far more experienced than I. I thought these insights were worth sharing broadly, so please feel free to take a look and learn!

I realized as I compiled these slides that many stories I’d like to share aren’t public. If you know of good stories that are publicly known (or you feel comfortable sharing with me), please reach out to rylanschaeffer@gmail.com!