Machine Learning Archives | CSE Developer Blog

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 ...

Preventing Rhino Poaching With Microsoft Azure

Olga LiakhovichMay 7, 2019May 7, 201905/7/19

Background 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 from Peace Parks Foundation (PPF...

Assessing the Severity of Acne via Cell Phone Selfie Images Using A Deep Learning Model

Hang ZhangFebruary 5, 2019Feb 5, 201902/5/19

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 ...

Developing and Deploying a Churn Prediction Model with Azure Machine Learning Services

Patty RyanJanuary 10, 2019Jan 10, 201901/10/19

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...

Real-time time series analysis at scale for trending topics detection

Omri MendelsJanuary 2, 2019Jan 2, 201901/2/19

Managing big cities and providing citizens public services requires municipalities to have a keen understanding of what citizens care the most about. And, as the cities we live in seek more and more to become the 'smart cities' of tomorrow, this means gathering and analyzing vast amounts of data. Data gathered from social and municipal sources...

Improving Safety and Efficiency in BMW Manufacturing Plants with an Open Source Platform for Managing Inventory Delivery

Peter Cornell AndringaDecember 19, 2018Dec 19, 201812/19/18

Background German car manufacturer BMW has always been at the forefront of technological advancement within the auto industry. And a major part of the company’s innovation focus is on its production system, ensuring quality and flexibility alike. When it comes to cutting-edge production systems, and more precisely logistics, new ...

Active Learning for Object Detection in Partnership with Conservation Metrics

Olga LiakhovichNovember 6, 2018Nov 6, 201811/6/18

Introduction Using artificial intelligence to monitor the progress of conservation projects is becoming increasingly popular. Potential applications range from preventing poaching of endangered species to monitoring animal populations in remote, hard-to-reach locations. While proven to be extremely effective, computer vision AI projects ...

Unsupervised driver safety estimation at scale, a collaboration with Pointer Telocation

Omri MendelsJuly 30, 2018Jul 30, 201807/30/18

Background Connected cars, which have the ability to collect and transfer data via cellular networks, offer us the opportunity to make road transport safer, more organized and more ecologically friendly. To push forward widespread adoption and help the technology fully enter the mainstream, manufacturers and third parties, like insurance ...

Semantic Segmentation of Small Data using Keras on an Azure Deep Learning Virtual Machine

Margaret MeehanJuly 18, 2018Jul 18, 201807/18/18

Introduction As previously featured on the Developer Blog, golf performance tracking startup Arccos joined forces with Commercial Software Engineering (CSE) developers in March in hopes of unveiling new improvements to their "virtual caddie" this summer. Powered by Microsoft Azure, Arccos' virtual caddie app uses artificial ...

Deploying a Batch AI Cluster for Distributed Deep Learning Model Training

Stephanie MarkerJuly 9, 2018Jul 9, 201807/9/18

Distributed Deep Learning Model Training on Batch AI For Land O'Lakes Sustainability Project With population growth spiking around the world, and scientists warning of the risk of climate change on the environment around us, across industries corporations are turning to innovation to help them make practices greener and more sustainable. ...

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