Knowing where data exists is half the battle.
New patterns sent predictive algos over the handlebars.
‘Oscarmetrics’ author Ben Zauzmer has a solid record of predicting winners. How will his model account for, well, everything?
Technical talent is hard to find. So when scaling their team from five to 20, these data scientists decided to get creative.
In praise of the (occasional) face plant.
Data science grads are more qualified than ever, but they still need good mentors to apply their skills in the real world.
Need more data to train your model? Make some.
Companies use stalling tactics to keep customers from getting their money back. Bots have nothing but time.
A new toolkit offers advice on how to center racial equity throughout the lifecycle of administrative data.
Visualizations can illuminate, but they can also be misleading.
Stephen Gossett
