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Why you should care about debugging machine learning models

O'Reilly on Data

Residuals are a numeric measurement of model errors, essentially the difference between the model’s prediction and the known true outcome. Residual plots place input data and predictions into a two-dimensional visualization where influential outliers, data-quality problems, and other types of bugs often become plainly visible.

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10 master data management certifications that will pay off

CIO Business Intelligence

That’s where MDM comes in to help create a single version of truth across all copies of master data to ensure data values are aligned. Certifications measure your knowledge and skills against industry- and vendor-specific benchmarks to prove to employers you have the right skillset. Informatica Master Data Management 10.3

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How Financial Services and Insurance Streamline AI Initiatives with a Hybrid Data Platform

Cloudera

This puts the onus on institutions to implement robust data encryption standards, process sensitive data locally, automate auditing, and negotiate clear ownership clauses in their service agreements. But these measures alone may not be sufficient to protect proprietary information. Train and upskill employees.

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The Gartner 2022 Leadership Vision for Data and Analytics Leaders Questions and Answers

Andrew White

First, how we measure emissions and carbon footprint is about data design and policy. In other words, D&A plays a key role in the foundational measuring angle. Link to item 6 on slide 27 is broken, [link] , for Dashboard to measure business impact, can you provide a current link?

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Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

This includes defining the main stakeholders, assessing the situation, defining the goals, and finding the KPIs that will measure your efforts to achieve these goals. A planned BI strategy will point your business in the right direction to meet its goals by making strategic decisions based on real-time data. It’s that simple.