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Data Visualization Inspiration: Analysis To Insights To Action, Faster!

Occam's Razor

Like a vast majority on planet Earth, I love data visualizations. A day-to-day manifestation of this love is on my Google+ or Facebook profiles where 75% of my posts are related to my quick analysis and learnings from a visualization. Data visualized is data understood. But for a visual person like me, this is the ah-ha moment.

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6 Case Studies on The Benefits of Business Intelligence And Analytics

datapine

Everything is being tested, and then the campaigns that succeed get more money put into them, while the others aren’t repeated. BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way. 6) Smart and faster reporting.

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Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

At the time—in 2014—the three were colleagues working. GloVe and word2vec differ in their underlying methodology: word2vec uses predictive models, while GloVe is count based. Note: A test set of 19,500 such analogies was developed by Tomas Mikolov and his colleagues in their 2013 word2vec paper. Pennington, J.,

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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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Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

Joint training, for example, adds an additional “explanation task” to the original problem and trains the system to solve the two “jointly” (see Bahdanau, 2014). In this article we’ll use Skater , a freely available framework for model interpretation, to illustrate some of the key concepts above.

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