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Evaluation Framework for Information Extraction

Omri MendelsJanuary 13, 2021Jan 13, 202101/13/21

In this blog post we cover the process, requirements, and the design of an evaluation framework for NLP and Information Extraction. We cover the reasoning behind such a framework, and discuss its implementation with examples from a Named Entity Recognition evaluation point of view.

Building A Clinical Data Drift Monitoring System With Azure DevOps, Azure Databricks, And MLflow

Nile WilsonOctober 29, 2020Oct 29, 202010/29/20

Hospitals around the world regularly work towards improving the health of their patients as well as ensuring there are enough resources available for patients awaiting care. During these unprecedented times with the COVID-19 pandemic, Intensive Care Units are having to make difficult decisions at a greater frequency to optimize patient health ...

Attaching and Detaching an Edge Node From a HDInsight Spark Cluster when running Dataiku Data Science Studio (DSS)

Amy BoydAugust 20, 2018Aug 20, 201808/20/18

Background Microsoft Global Partner Dataiku is the enterprise behind the Data Science Studio (DSS), a collaborative data science platform that enables companies to build and deliver their analytical solutions more efficiently. Microsoft has been working closely with Dataiku for many years to bring their solutions and integrations ...

OAuth 2.0 for Mixed Reality applications

Ben GreenierApril 23, 2018Apr 23, 201804/23/18

OAuth 2.0 for Mixed Reality applications We recently collaborated with Aveva, an industrial design and management software company. The goal for Aveva was to improve its remote rendering service and extend this technology to support an ever-growing list of platforms and devices including HoloLens. As a result of our collaboration, we ...

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