CSE Developer Blog

Evaluation Framework for Information Extraction
Evaluation Framework for Information Extraction
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
Building A Clinical Data Drift Monitoring System With Azure DevOps, Azure Databricks, And MLflow
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 ...
Using Blockchain To Securely Transfer And Verify Files
Using Blockchain To Securely Transfer And Verify Files
As 3D printing becomes an integral part of the manufacturing industries, there are new challenges that must be solved to promote mass adoption. Primarily, how do you securely transfer accredited schematics and verify data integrity once it's been delivered? In other words, how can you ensure the schematics were not tampered with in the midst ...
Preventing Rhino Poaching With Microsoft Azure
Preventing Rhino Poaching With Microsoft Azure
In the last eight years, poaching in Africa has been happening at an alarming rate. Currently, the continent loses three rhinos a day. As part of our team’s mission to find new ways that technology can positively impact our world, we’ve been collaborating with the Combating Wildlife Crime team Peace Parks Foundation (PPF), in partnership with
Using uPort For Authentication On Blockchain To Improve Standards On The Food Logistics Chain
Using uPort For Authentication On Blockchain To Improve Standards On The Food Logistics Chain
Background Supply chains – made up of individual suppliers, shippers, warehouses, and customers – are extremely complicated conglomerates.  When something goes wrong along a supply chain, knowing where and how a shipment went bad can be a huge use of time and energy.  This is especially true in the food logistics industry. While ...
Real-time Streaming Of 3D Enterprise Applications From The Cloud To Low-powered Devices
Real-time Streaming Of 3D Enterprise Applications From The Cloud To Low-powered Devices
Microsoft recently partnered with AVEVA, an engineering, design and management software provider to the Power, Oil & Gas and Marine industries. AVEVA’s challenge is one that is becoming more and more common in the construction visualization space: ever increasing complexity of 3D data that needs to be highly interactive to a customer ...
Assessing the Severity of Acne via Cell Phone Selfie Images Using A Deep Learning Model
Assessing the Severity of Acne via Cell Phone Selfie Images Using A Deep Learning Model
Background Watch this episode of the Decoded Show for an in-depth look with Gary Bradski, the inventor of OpenCV, and the Nestlé team. In the Global Burden of Disease Study 2015, Acne was identified as the 8th most common disease in the world and is estimated to affect as many as 700 million people globally. This skin health ...
Running Parallel Apache Spark Notebook Workloads On Azure Databricks
Running Parallel Apache Spark Notebook Workloads On Azure Databricks
Background and Problem Definition In today’s fast-moving world, having access to up-to-date business metrics is key to making data-driven customer-centric decisions. With over 1000 daily flights servicing more than 100 cities and 42 million customers per year, JetBlue has a lot of data to crunch, answering questions such as: What is the ...
Developing and Deploying a Churn Prediction Model with Azure Machine Learning Services
Developing and Deploying a Churn Prediction Model with Azure Machine Learning Services
Business Problem For a subscription service business, there are two ways to drive growth: grow the number of new customers, or increase the lifetime value from the customers that you already have by retaining more of them. Improving customer retention requires the ability to predict which subscribers are likely to cancel (referred to as churn...