Machine Learning
Kubeflow: TensorFlow on Kubernetes with David Aronchick (Repeat)
Originally published January 25, 2019 When TensorFlow came out of Google, the machine learning community converged around it. TensorFlow is a framework for building machine learning
Computer Architecture with Dave Patterson Holiday Repeat
Originally published November 7, 2018 An instruction set defines a low level programming language for moving information throughout a computer. In the early 1970’s, the prevalent
Federated Learning with Mike Lee Williams
Federated learning is machine learning without a centralized data source. Federated Learning enables mobile phones or edge servers to collaboratively learn a shared prediction model
Pachyderm Engineering with Joe Doliner
Pachyderm is a system for data version control. Code has been version controlled for many years, but not data. In previous episodes with Joe Doliner, we explored the evolution of
Stripe Machine Learning Infrastructure with Rob Story and Kelley Rivoire (Summer Break Repeat)
Originally published June 13, 2019. We are taking a few weeks off. We’ll be back soon with new episodes. Machine learning allows software to improve as that software consumes more