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

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

Cognitive Toolkit Helps Win 2016 CIF International Time Series Competition

This post is authored by Slawek Smyl, Senior Data & Applied Scientist at Microsoft. The Computational Intelligence in Forecasting (CIF) International Time Series Competition was one of ten competitions held at the IEEE World Congress on Computational Intelligence (IEEE WCCI) in Vancouver, Canada, in late July this year. I am excited to report that my… Read more

Empowering Developers with AI & Deep Learning

Re-posted from the Azure blog. Deep Learning is powering many of the biggest breakthroughs in Artificial Intelligence in recent times, spanning areas such as speech recognition, language understanding and computer vision. Indeed, Deep Learning is now changing the very customer experience around many Microsoft products, including HoloLens, Skype, Cortana, Office 365, Bing and more. Our… Read more

How We Share Machine Learning, Analytics & Data Science at Microsoft

We recently concluded the Fall 2016 edition of the Machine Learning, Analytics & Data Science (MLADS) conference, Microsoft’s largest internal gathering of employees focused on this very important field. This latest edition was the sixth in a very popular series that we launched in spring 2014, and with over 3,000 employees participating over the course… Read more

Deep Learning Made Easy in Azure

This post was authored by Anusua Trivedi, Data Scientist, Microsoft and Jamie Olson, Analytics Solution Architect, Microsoft Deep learning is an exciting new space for predictive modeling and machine learning and I’ve previously written about a variety of different models and tools in my previous blogs.  However, it can be intimidating to get started and… Read more

New Additions to the Data Science Virtual Machine – Test Drive, Community Forums, Deep Learning

This post is authored by Paul Shealy, Senior Software Engineer, and Barnam Bora, Program Manager, at Microsoft. The Data Science Virtual Machine (DSVM) is a custom virtual machine image from Microsoft that comes pre-installed with popular data science tools for modeling and development activities. The DSVM is offered in both Windows and Linux editions. There’s… Read more

How to Train a Deep-Learned Object Detection Model in the Microsoft Cognitive Toolkit

This post is authored by Patrick Buehler, Senior Data Scientist, and T. J. Hazen, Principal Data Scientist, at Microsoft. Last month we published a blog post describing our work on using computer vision to detect grocery items in refrigerators. This was achieved by adding object detection capability, based on deep learning, to the Open Source… Read more

Microsoft and Liebherr Collaborating on New Generation of Smart Refrigerators

This post is by T. J. Hazen, Principal Data Scientist Manager at Microsoft. As part of the Liebherr household appliances division’s digital initiative, Liebherr and Microsoft are collaborating in the development of Liebherr’s new generation of the SmartDeviceBox. This is a communication module which fits into Liebherr refrigerators and freezers, connecting them to the internet…. Read more