Not enough is being said about the increasingly common transition from doing a PhD in machine learning to machine learning engineering (or data scientist) in the industry. A good PhD education primarily trains one to conduct scientific research. (more…)

Machine learning research has advanced in multiple aspects, including model structures and learning methods. The effort to automate such research, known as AutoML, has also made significant progress. However, this progress has largely focused on the archi... (more…)

A simple framework for founders & investors to reason about the three types of defensible ML companies. (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…)

A survey of over 19,000 data professionals showed that nearly 2/3rds of respondents said they analyze data to influence product/business decisions. Only 1/4 of respondents said they do research to advance the state of the art of machine learning. (more…)