Remove 2001 Remove Deep Learning Remove Publishing Remove Visualization
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Data Science, Past & Future

Domino Data Lab

He also really informed a lot of the early thinking about data visualization. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. They’d like to do something more efficient when they’re training a lot of deep learning models.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

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.

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Data Science at The New York Times

Domino Data Lab

In 2001, Bill Cleveland writes this article saying, “You are doing it wrong.” It’s a visual problem so it works both in our MSE and it works by your eyeballs. The developers in the group, they write in Python; they leverage scikit-learn heavily. For visualization we’re not building our own dashboards.