In this blog post we propose a taxonomy of 6 levels of Auto ML, similar to the taxonomy used for self-driving cars. Here are the 6 levels: ●Level 3: Automatic (technical) feature engineering and… (more…)

Computational scientific discovery is at an interesting juncture. While we have... (more…)

Fake news can be used for social media campaigns with an aim to disseminate propaganda. The issue has intensified in the last five years as digital journalism h... (more…)

To combat resistant bacteria and refill the trickling antibiotic pipeline, scientists are getting help from deep learning networks. (more…)

Building and understanding ML models is inherently visual. As opposed to classical software engineering, an ML model has no source code to inspect and debug. Instead we use statistics and visualizations to gain insight and inform our decisions. (more…)