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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.

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Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

When running word2vec, you can choose between two underlying model architectures— skip-gram (SG) or continuous bag of words (CBOW; pronounced see-bo)— either of which will typically produce roughly comparable results despite maximizing probabilities from “opposite” perspectives. Interactive bokeh plot of two-dimensional word-vector data.

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What Is Embedded Analytics?

Jet Global

Companies like Tableau (which raised over $250 million when it had its IPO in 2013) demonstrated an unmet need in the market. As rich, data-driven user experiences are increasingly intertwined with our daily lives, end users are demanding new standards for how they interact with their business data.