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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. You see these drivers involving risk and cost, but also opportunity. I can point to the year 2001. All righty.

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Themes and Conferences per Pacoid, Episode 5

Domino Data Lab

What are the projected risks for companies that fall behind for internal training in data science? For example, an exec from a large, well-known consulting firm explained to me how they rarely send staff to in-person courses. Data visualization for prediction accuracy ( credit: R2D3 ). In business terms, why does this matter ?

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

He’s been out of Wolfram for a while and writing exquisite science books including Elements: A Visual Explanation of Every Known Atom in the Universe and Molecules: The Architecture of Everything. Consider the following timeline: 2001 – Physics grad students are getting hired in quantity by hedge funds to work on Wall St.

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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.” We consult with the journalists, we try to be useful when we can be helpful but those people have deadlines, and I’m already submitting papers to NeurIPS and other stuff. Bell Labs basically was the “data science” of the day.