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Learning Tensorflow.js with Gant Laborde

Machine learning models must first be trained.  That training results in a model which must be serialized or packaged up in some way as a deployment artifact.  A popular deployment

Episode Summary: Data Management Systems and Artificial Intelligence with Arun Kumar

Arun Kumar is an Assistant Professor in the Department of Computer Science and Engineering and the Halicioglu Data Science Institute at the University of California, San Diego. His

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

Descript with Andrew Mason

Descript is a software product for editing podcasts and video. Descript is a deceptively powerful tool, and its software architecture includes novel usage of transcription APIs,