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Automating Model Risk Compliance: Model Validation

DataRobot Blog

When the FRB’s guidance was first introduced in 2011, modelers often employed traditional regression -based models for their business needs. Furthermore, through its interactive interface, the modeler is able to do multiple what-if analyses to see the impact of changing the prediction threshold on the corresponding model precision and recall.

Risk 52
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Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

Many thanks to Addison-Wesley Professional for providing the permissions to excerpt “Natural Language Processing” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. Introduction.

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Understanding the different types and kinds of Artificial Intelligence

IBM Big Data Hub

Early iterations of the AI applications we interact with most today were built on traditional machine learning models. These models rely on learning algorithms that are developed and maintained by data scientists. For example, Apple made Siri a feature of its iOS in 2011.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

That resulted in server farms, collecting volumes of log data from customer interactions, data which was then aggregated and fed into machine learning algorithms which created data products as pre-computed results, which in turn made web apps smarter and enhanced e-commerce revenue. In short, the virtuous cycle is growing.

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Data Science at The New York Times

Domino Data Lab

Here is a picture of The New York Times on its birthday in 1851, and for the vast majority of its lifespan this is pretty much what the user experience of interacting with The New York Times looks like. It’s a visual problem so it works both in our MSE and it works by your eyeballs. Editors can interact with this bot.