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A history of tech adaptation for today’s changing business needs

CIO Business Intelligence

The company has been on a continuous journey to adapt its internal and external processes to new business needs and opportunities since 2001.” “Digital transformation is not a new concept for Ipsos,” says global CIO Humair Mohammed. js and React.js.

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To Balance or Not to Balance?

The Unofficial Google Data Science Blog

Identification We now discuss formally the statistical problem of causal inference. We start by describing the problem using standard statistical notation. The choice of space $cal F$ (sometimes called the model ) and loss function $L$ explicitly defines the estimation problem. For a random sample of units, indexed by $i = 1.

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

Meanwhile, many organizations also struggle with “late in the pipeline issues” on model deployment in production and related compliance. then building machine learning models to recommend methods and potential collaborators to scientists. Across the board, organizations struggle with hiring enough data scientists. Sci Foo 2019.

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Data Science at The New York Times

Domino Data Lab

Diving into examples of building and deploying ML models at The New York Times including the descriptive topic modeling-oriented Readerscope (audience insights engine), a prediction model regarding who was likely to subscribe/cancel their subscription, as well as prescriptive example via recommendations of highly curated editorial content.