Remove 2001 Remove Publishing 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 355
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11 Digital Marketing “Crimes Against Humanity”

Occam's Razor

Making website iterations based on executive opinions, but not site testing. via Jordan Silton] "With testing you can prove if Executives are right or not, and maybe, just maybe figure out WHY. Your website was created in 1996, updated slightly in 2001, and left to rot ever since. [via

Marketing 126
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Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

AWS Big Data

Datasets used for generating insights are curated using materialized views inside the database and published for business intelligence (BI) reporting. The near-real-time insights can then be visualized as a performance dashboard using OpenSearch Dashboards. Now you can create visualizations in OpenSearch Dashboards.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

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. A very big mess since circa 2001, and now becoming quite a dangerous mess. Arguably, somewhat bewildered and perhaps a bit gunshy. Disconnects, in a nutshell. It’s a mess.

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

The problem with this approach is that in highly imbalanced sets it can easily lead to a situation where most of the data has to be discarded, and it has been firmly established that when it comes to machine learning data should not be easily thrown out (Banko and Brill, 2001; Halevy et al., Their tests are performed using C4.5-generated

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

Rather than publish an agenda as most technology conferences do, why not let people mingle, discuss, and propose topics and possible sessions? 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.

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Data Science at The New York Times

Domino Data Lab

A “data scientist” might build a multistage processing pipeline in Python, design a hypothesis test, perform a regression analysis over data samples with R, design and implement an algorithm in Hadoop, or communicate the results of our analyses to other members of the organization in a clear and concise fashion. And it works.