Sort by:

Kubeflow: TensorFlow on Kubernetes with David Aronchick

When TensorFlow came out of Google, the machine learning community converged around it. TensorFlow is a framework for building machine learning models, but the lifecycle of a machine

slsML: Towards elastic ML infrastructure on AWS Lambda

Featured Image Credit This article was originally written by Alex Glikson on Medium. Reposted with permission. The seamless elasticity of ‘serverless’ Function-as-a-Service (FaaS)

Computer Architecture with Dave Patterson

An instruction set defines a low level programming language for moving information throughout a computer. In the early 1970’s, the prevalent instruction set language used a large

TensorFlow Applications with Rajat Monga

Rajat Monga is a director of engineering at Google where he works on TensorFlow. TensorFlow is a framework for numerical computation developed at Google. The majority of TensorFlow users

Apparel Machine Learning with Colan Connon and Thomas Bell

In its most basic definition, machine learning is a tool that makes takes a data set, finds a correlation in that data set, and uses that correlation to improve a system. Any complex