Domino Data Lab

APRIL 3, 2019

We find ways to improve machine learning so that it requires orders of magnitude more data, e.g., deep learning with neural networks. My read of that narrative arc is that some truly weird tensions showed up circa 2001: Arguably, it’s the heyday of DW+BI. Agile Manifesto get published. Disconnects, in a nutshell.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Domino Data Lab

JULY 22, 2019

and drop your deep learning model resource footprint by 5-6 orders of magnitude and run it on devices that don’t even have batteries. They’d like to do something more efficient when they’re training a lot of deep learning models. I can point to the year 2001. You can take TensorFlow.js All righty.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

JULY 9, 2019

In 2001, Bill Cleveland writes this article saying, “You are doing it wrong.” We actually got people to label a bunch of stories and say that they feel different feels, and then we used some deep learning models that would actually predict what feelings people would feel. We crowdsourced it. That’s the bidness!”

Data Science 112

Data Science Machine Learning Advertising Modeling 112