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With An Accuracy Of 90%.pdf

Deep_Learning_for_retail_analytics_-_GTC_2017.pdf
Preview of With an accuracy of 90%
🔗 Source: deepsense.ai
📊 Size: 2.88 MB
📄 Pages: 22 pages
⬇️ Downloads: 384

Summary

Nielsen utilizes deep learning for retail analytics and reference data management, measuring TV ratings, advertising exposure, and consumer behavior across 100+ countries. Their reference data, an industry standard for analytics, is created through a four-step strategy: building foundational content, normalizing analytic-ready content, deploying automation, and enabling a content ecosystem. Reference data is the "glue" that brings Nielsen's assets together, facilitating internal and external data exchange. It consists of layered content, including foundational, analytical-ready, and client-ready characteristics, which are managed and maintained by Nielsen or its partners. Deep learning is used to extract knowledge from data, as it doesn't require prior knowledge of the problem, works with various data types, and applies similar techniques across multiple problems and sectors.

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Description

Nielsen utilizes deep learning for retail analytics and reference data management, measuring TV ratings, advertising exposure, and consumer behavior across...

Technical Information

  • File Format: PDF
  • File Size: 2.88 MB
  • Pages: 22
  • Language: EN
  • Total Downloads: 384
  • Last Updated: 2 weeks ago

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