Emmanuel Ameisen

My favorite website to read is @OurWorldInData and their biweekly newsletter is hands down the most informative email I get. They are hiring for a Data Scientist! If you're looking for an opportunity to do impactful work, you should consider applying.

In a great YT video @karpathy challenges viewers to find a vectorized way to backprop through a complex embedding lookup. Tada! mapping = [link] num_classes=27).float() dC = torch.tensordot(mapping, demb, dims=([0,1], [0,1]))

This article by @a16z has the best ML infra charts I’ve seen in a very long time. If you’d like to know more about the challenges that come with ML, and the tools to solve them, this is a great start