Machine Learning can often be a black box. To gain actionable insights, its helpful to know how a variable influences a model. Here we outline 5 ways to assess feature importance to affecting the probability of an outcome. (more…)

The best data labeling tools are intuitive, minimize human involvement, and maximize efficiency. This post showcases 8 tools to help label training data. (more…)

This blog post will explain the main ideas behind machine learning and try to show you why you should care about any of them in the first place. (more…)

Quantum science could not only gain from machine learning techniques, it could be reshaped by them, writes Perimeter Institute researcher Roger Melko.

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…)