Remove 2001 Remove Presentation Remove Testing Remove Visualization
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Reclaiming the stories that algorithms tell

O'Reilly on Data

Under school district policy, each of Audrey’s eleven- and twelve-year old students is tested at least three times a year to determine his or her Lexile, a number between 200 and 1,700 that reflects how well the student can read. They test each student’s grasp of a particular sentence or paragraph—but not of a whole story.

Risk 356
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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

.” “Data science” was first used as an independent discipline in 2001. The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining.

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

We present the inner workings of the SMOTE algorithm and show a simple “from scratch” implementation of SMOTE. Figure 3 shows visual explanation of how SMOTE generates synthetic observations in this case. Their tests are performed using C4.5-generated Chawla et al., Pima Indian Diabetes (Smith et al., Chawla et al.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form. That presented an opportunity to learn, putting me in the same position as much of the audience. The on-the-ground reality of DG presents an almost overwhelming array of topics. The presentation layer moved UX into the browser.

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11 Digital Marketing “Crimes Against Humanity”

Occam's Razor

Every presentation I do is customized for the audience in the room. I'm going to present a cluster of what I think are digital "crimes against humanity." Making website iterations based on executive opinions, but not site testing. But maybe the issue is that you (and the Marketers and Leaders.

Marketing 126
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Data Science at The New York Times

Domino Data Lab

Chris Wiggins , Chief Data Scientist at The New York Times, presented “Data Science at the New York Times” at Rev. 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. And it works.

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

Secondly: some key insights discussed at Sci Foo finally clicked for me—after I’d heard them presented a few times elsewhere. 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. No big deal.”.