Machine Learning

Introduction that often operates with surprising inefficiency: manual processes, piles of paperwork, legal complexities. Many companies still run on paper…

before we start: I am a developer at Google Cloud. Thoughts and opinions expressed here are entirely my own. The…

We always use filters when developing DAX expressions, such as DAX measures, or when writing DAX queries. But what happens…

project involving the build of propensity models to predict customers’ prospective purchases, I encountered feature engineering issues that I had…

launched Gaudi accelerators on Amazon's EC2 DL1 instances, we faced a challenge that threatens all deployments. The performance numbers weren't…

We've been revolutionizing Android with AI–moving it from an operating system to an intelligent system that learns and acts. Building…

wheels sometimes look like they’re going backward in movies? Or why a cheap digital recording sounds harsh and metallic compared…

going through a profound change driven by technological progress. These changes affect all sectors, especially the banking industry. Data professionals…

that have pervaded nearly every facet of our daily lives are autoregressive decoder models. These models apply compute-heavy kernel operations…

: Overparameterization, Generalizability, and SAM The dramatic success of modern deep learning — especially in the domains of Computer Vision and Natural Language…