Getting labeled training data has become the key development bottleneck in supervised machine learning. We provide a broad, high-level overview of recent weak supervision approaches, where noisier or higher-level supervision is used as a more expedient an... (more…)

Coding Machine Learning Pipelines - the right way. (more…)

Welcome to the first of a series of posts where we dive into use cases that are shaping and expanding what’s possible with machine learning… (more…)

SageMaker is a fully managed service that enables developers to build, train, test and deploy machine learning models at scale. (more…)

It is especially tricky to identify software problems in the kinds of distributed applications typically deployed in k8s environments. (more…)