Quote of the Day

With parallel boosting, models are guaranteed to get better over time. “We start with an approximate solution and approximate model,” Chandra says. “That model could be really bad…Then we feed the model and all the training data in…At the end of the iteration, the algorithm is guaranteed to produce a better model. So if you keep iterating, the model gets better and better and better.”

- Tushar Chandra, Principal Engineer at Google Research and a co-lead for the Sibyl project.