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Video
Why Data Science in the Cloud?
As business and organizational needs expand, a centralized ecosystem such as the cloud is needed to securely store and access data, conduct analyses, and share results.
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Expanding R Horizons: Integrating R with Plumber APIs
The Plumber package is a tool for integrating R with other frameworks and technologies
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Using R to Drive Agility in Clinical Reporting
The R language is used within the tightly regulated clinical reporting workflows has remained limited.
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Enabling Remote Data Science Teams
Data science teams face a challenging task: To gain insight from data, and persuade others to make decisions based on those insights.
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Data, visualization, and designing AI
Recent progress in machine learning has raised a series of urgent questions: How can we train and debug deep learning models? How can we understand what is going on inside a neural network?
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Not So Standard Deviations Episode 100
In episode 100 of Not So Standard Deviations, the first ever episode prepared in advance, Hilary and Roger discuss creativity, its role in data science, & how it can be fostered through conversation.