Remove about facts-figures
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Data Modeling Interview Questions

Analytics Vidhya

After all, it is all about the various facts and figures that help organizations design their strategies. Introduction Data is revamping the way businesses work. However, large data repositories require a professional to simplify, express and create a data model that can be easily stored and studied.

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Are Model Explanations Useful in Practice? Rethinking How to Support Human-ML Interactions.

ML @ CMU

We observe that explanations do not in fact help with concrete applications such as fraud detection and paper matching for peer review. An example of the interface shown to analysts is in Figure 3. This blog post discusses the effectiveness of black-box model explanations in aiding end users to make decisions.

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Is Gemini AI woke or are we all day dreaming?

Dataconomy

Well, Gemini AI has paused its ability to generate images of people because of errors in its depictions of historical figures. The AI model’s depiction of historical figures from different ethnicities sparked the is Gemini AI woke controversy. In fact, the depiction of George Washington as black drew the ire of some groups.

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Viewing Illegal Streams: No Cautions, Fines or Arrests Say GM Police

Hacker News

Certainly, legal theory doesn’t rule out the possibility, but in a campaign that relies almost entirely on fear, hard independent facts would’ve been a welcome addition. Inconvenient Facts Are Still Facts GMP’s disclosure doesn’t come as a surprise but seeing the zero figure in black and white confirms our suspicions.

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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The truth behind data storytelling in action: Challenges, successes, and limitations to present data

Data Science Dojo

The best way to understand the importance of authenticity is to think about two different data stories. The key to authenticity is to be true to the facts, but also to be honest with your readers. You’ll also want to strategize by thinking about who you are writing your stories for. Don’t miss out!

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Are Model Explanations Useful in Practice? Rethinking How to Support Human-ML Interactions.

ML @ CMU

We observe that explanations do not in fact help with concrete applications such as fraud detection and paper matching for peer review. An example of the interface shown to analysts is in Figure 3. This blog post discusses the effectiveness of black-box model explanations in aiding end users to make decisions.

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5 Early Indicators Your Embedded Analytics Will Fail

Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".