This week Jonathon and Vidya are out of town, so Chris takes the helm and gives his opinionated guide to learning machine learning, data science, and artificial intelligence. Resources mentioned this episode: (more…)

How do you know what machine learning algorithm to choose for your classification problem? Of course, if you really care about accuracy, your best bet is to test out a couple different ones (making sure to try different parameters within each algorithm as... (more…)

This post will be about helping you understand the basics of the main machine learning task : classification. More specifically, we are going to scratch the surface of linear classification and quickly address non linear classification. I assume some basi... (more…)

Posted by Amir Yazdanbakhsh, Research Scientist, Google Research One of the key contributors to recent machine learning (ML) advancements... (more…)

ML models often exhibit unexpectedly poor behavior when they are deployed in real-world domains. We identify underspecification as a key reason for these failures. An ML pipeline is underspecified when it can return many predictors with equivalently stron... (more…)