“The best way to have a good idea is to have a lot of ideas.” — Linus Pauling
But how do we know which of our ideas are good? By building prototypes, the faster the better!
In this talk, Joel will discuss how (and why) he builds as many proofs of concept as he can, as fast as he can; and how he makes sure his customers love them.
Principal Engineer at Capital Group
Joel Grus is Principal Engineer at Capital Group, where he leads a team that builds machine learning and data science products.
Previously he helped build the AllenNLP library at AI2, engineered software at Google, and did data science at a variety of startups.
He’s the author of “Ten Essays on Fizz Buzz”, “Data Science from Scratch”, and “I Don’t Like Notebooks.”