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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. Examining these global feature importances enables the validator to understand the top data inputs and ensure that they fit with their domain expertise.

Risk 52
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Accomplish Agile Business Intelligence & Analytics For Your Business

datapine

It’s necessary to say that these processes are recurrent and require continuous evolution of reports, online data visualization , dashboards, and new functionalities to adapt current processes and develop new ones. The term “agile” was originally conceived in 2011 as a software development methodology.

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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

Known as the person who coined the term Lambda Architecture, co-author Nathan Marz is a well-renowned expert in the field of big data and programming. Topics covered here range from backtesting and benchmarking approaches to data quality issues, software tools, and model documentation practices.

Big Data 263
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Themes and Conferences per Pacoid, Episode 7

Domino Data Lab

There are essentially four types encountered: image/video, audio, text, and structured data. Note how model visualization is bubbling up to the top, which has implications for model interpretability, cyber threats, etc. AI tech startups selling capabilities into enterprise, please take note.

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Showpad accelerates data maturity to unlock innovation using Amazon QuickSight

AWS Big Data

In this post, we share how Showpad used QuickSight to streamline data and insights access across teams and customers. Showpad migrated over 70 dashboards with over 1,000 visuals. Each of these tools were getting data from a different place, and that’s where it gets difficult,” says Jeroen Minnaert, head of data at Showpad. “If