Going Beyond Predictions

Last Updated on June 7, 2016

The predictions you make with a predictive model do not matter, it is the use of those predictions that matters.

Jeremy Howard was the President and Chief Scientist of Kaggle, the competitive machine learning platform. In 2012 he presented at the O’reilly Strata conference on what he called the Drivetrain Approach for building “data products” that go beyond just predictions.

In this post you will discover Howard’s Drivetrain Approach and how you can use it to structure the development of systems rather than make predictions.

Motivating the Approach

Jeremy Howard was a top Kaggle participant before investing in and joining the company. In talks like Getting In Shape For The Sport Of Data Science you get deep insight into Howard’s keen ability at diving into data and building effective models.

By the 2012 Strata talk, Howard had been at Kaggle for a year or two and had see a lot of competitions and a lot
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