Earlier this summer, I previewed some of our research on machine learning which focused on potential applications for the building industry. I am now pleased to announce that these explorations have been released as a new extension to our LunchBox tools f... (more…)

Welcome to the first of a series of posts where we dive into use cases that are shaping and expanding what’s possible with machine learning… (more…)

There are many supervised algorithms that can be used to train a classifier. The problem is that it is hard to say which one will be the best fit for your data — there is no golden algorithm that always comes out best. To train a good predictive model you... (more…)

Adversarial examples are inputs to machine learning models that an attacker has intentionally designed to cause the model to make a mistake; they're like optical illusions for machines. In this post we'll show how adversarial examples work across differen... (more…)

What better way to enjoy this spring weather than with some free machine learning and data science ebooks? Right? Right? (more…)