Today’s at Andy Jassy’s Keynote in re:Invent, Amazon has launched a few super interesting ML/AI capabilities (most of which are available… (more…)

TDA and Machine Learning both benefit from the other. This post by Ayasdi co-founder Harlan Sexton talks specifically about how Random Forest can perform better with TDA and vice versa. (more…)

Tech giants including Baidu and Google spent between $20B to $30B on AI in 2016, with 90% of this spent on R&D and deployment, and 10% on AI acquisitions. AI investment has turned into a race for patents and intellectual property (IP) among the world’... (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…)

In this episode of Machine Learning Street Talk, we chat about Large-scale Transfer Learning in Natural Language Processing. The Text-to-Text Transfer Transf... (more…)