Quick-Start Guide to the Data Science Bowl Lung Cancer Detection Challenge, Using Deep Learning, Microsoft Cognitive Toolkit and Azure GPU VMs

This post is by Miguel Fierro, Data Scientist, Ye Xing, Senior Data Scientist, and Tao Wu, Principal Data Scientist Manager, all at Microsoft. Since its launch in mid-January, the Data Science Bowl Lung Cancer Detection Competition has attracted over than 1,000 submissions. To be successful in this competition, data scientists need to be able to… Read more

Cloud-Scale Text Classification with Convolutional Neural Networks on Microsoft Azure

This post is by Miguel Fierro, Ilia Karmanov, Thomas Delteil, Andreas Argyriou, and Max Kaznady, all Data Scientists at Microsoft. Natural Language Processing (NLP) is one of the fields in which deep learning has made significant progress. Specifically, the area of text classification, where the objective is to categorize documents, paragraphs or individual sentences into… Read more

Home Appliances, Vending Machines – Even Cruise Ships – Get an Infusion of Cortana Intelligence & Machine Learning

A quick overview of recent customer case studies involving the application of Microsoft’s AI, Big Data & Machine Learning offerings. Carnival Maritime Predicts Water Consumption on Cruise Ships The Costa Group’s fleet of 26 cruise ships sail all over the world. The industrial equipment on their ships have thousands of sensors that collect data in… Read more

Julia – A Fresh Approach to Numerical Computing

This post is authored by Viral B. Shah, co-creator of the Julia language and co-founder and CEO at Julia Computing, and Avik Sengupta, head of engineering at Julia Computing. The Julia language provides a fresh new approach to numerical computing, where there is no longer a compromise between performance and productivity. A high-level language that… Read more

New Year & New Updates to the Windows Data Science Virtual Machine

This post is authored by Gopi Kumar, Principal Program Manager in the Data Group at Microsoft. First of all, a big thank you to all users of the Data Science Virtual Machine (DSVM) for your tremendous response to our offering in 2016. We’re looking forward to a similarly great year in 2017. The new year… Read more

A Plethora of Microsoft Training Options on AI, Machine Learning & Data Science, including MOOCs

This post is authored by Kristin M. Tolle, Director of Program Management for Advanced Analytics Ecosystem Development and Training at Microsoft. Cortana Intelligence, Microsoft’s end-to-end platform for Advanced Analytics, offers a suite of services to solve real world customer problems. The suite has many moving parts – Data Lake, HDInsight (Hadoop), Event Hub, Machine Learning… Read more

Azure Machine Learning Now Available in West Central US

This post is authored by Ted Way, Senior Program Manager at Microsoft. We are pleased to announce that Azure Machine Learning is now generally available in the West Central United States (WCUS) Azure region. With this, Azure ML is now available in these regions: United States East US2 South Central US NEW: West Central US… Read more

Pioneer Behind “Internet of Oysters” Now Looking to Sustainably Feed the Planet

Re-posted from the Microsoft Transform blog. Ros Harvey has been a pioneer when it comes to using technology to improve the lives of millions of people. After having recently upended oyster farming in Australia with her work on the “Internet of Oysters”, she decided to expand her business, which is called The Yield, to help… Read more

Announcing Data Science Utilities Version 0.11, for the Team Data Science Process

This post is authored by Hang Zhang, Senior Data Scientist Manager, Gopi Kumar, Principal Program Manager, and Xibin Gao, Data Scientist, at Microsoft. Back in September 2016, we released an early public preview of Team Data Science Process (TDSP), with the goal of supporting secure collaboration within enterprise data science organizations, with capabilities such as… Read more

Hello 2017, and Recap of Top 10 Posts of 2016

As we kick off what will surely be another very exciting year of progress in artificial intelligence, machine learning and data science, we start with a quick recap of our “Top 10” most popular posts (based on aggregate readership) from the year just concluded. Here are the posts that had the most page views in… Read more