Remove 2001 Remove Deep Learning Remove Management Remove Statistics
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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve.

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Data Science, Past & Future

Domino Data Lab

He was saying this doesn’t belong just in statistics. It involved a lot of interesting work on something new that was data management. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. Tukey did this paper. It’s a great read.

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Data Science at The New York Times

Domino Data Lab

I do not want a product manager being the information bottleneck between people who are supposed to do some research and develop a product that is useful and somebody who’s going to be the end user. In 2001, Bill Cleveland writes this article saying, “You are doing it wrong.” We can monetize that.”