Tips & tricks for using the Data Science Virtual Machine (DSVM) with GPU support for machine learning on Azure

Wow, what a wordy title.  In this post, I want to share the tricks I’ve learned for using the Data Science Virtual Machine on Azure with GPU hardware.  Rationale To begin, why would you want to do this?  Here’s the value prop: Data Science Virtual Machine: the DSVM enables rapid development for data scientists.  Say…


Artificial Intelligence and Machine Learning News from Build 2018

The Microsoft Build conference held on May 7-9, 2018 included many artificial intelligence and machine learning announcements.   Here are some of the highlights that you should know about: Azure Machine Learning Packages for Vision, Text, and Forecasting in Public Preview – these Python pip-installable extensions for Azure Machine Learning simplify the common tasks of computer…


TechDays Sweden 2017

I had the honor of presenting one of the keynotes at TechDays Sweden.  The recording is available at


Artificial Intelligence/Machine Learning Talks from Leaders Paris 2017

I was very honored to deliver two talks at Leaders Paris 2017: a main stage talk “Innovations in AI and Machine Learning” and a workshop “AI Now!”  The talks were posted to YouTube and are available now. In the “Innovations in AI and Machine Learning” talk, I discussed some of Microsoft’s recent innovations in artificial…


AI Announcements at the Build Day 1 keynote

So many exciting announcements in the Artificial Intelligence space at the Build keynote this morning!  In case you missed it, here’s the lowdown.  You can watch the keynote recording at   Cognitive Services Labs The Labs give developers an early look at the exciting emerging Cognitive Services technologies.  You can try out and…


How do I call Cognitive Services from Azure Machine Learning?

Microsoft has a multitude of tools and libraries for developers who want to utilize machine learning, from the Cognitive Services which perform facial detection, emotion recognition, text analytics, and more with a simple API call, to Azure Machine Learning which allows you to build your own custom ML models, to the CNTK which is our…


Machine Learning Careers at Microsoft

I was very honored to be featured on the Microsoft Jobs blog and talk with them about the cool research we are able to do in machine learning at Microsoft.  You can read the full article at  There is also a writeup on the What If page and a video at  You can…


Sentiment Analysis on Social Network Data (Twitter, Facebook, etc.)

Sentiment analysis is a useful service for just about any business.  It is always valuable to know whether your customers are saying positive or negative things about you.  Microsoft offers three different ways to do sentiment analysis on social network information: 1. There is a service that the Azure ML team has already built that…


The Powerful Machine Learning Behind Bing Predicts

The last time I was in Redmond, I got the opportunity to speak with the Bing Predicts team.  The Bing Predicts team uses search, social, and other relevant data to make intelligent predictions about upcoming events, like sporting events, reality TV shows, award shows, and political elections.  I first spoke with Walter Sun, the founder…


Unconscious Bias Project: Using Data for Awareness of Your Tone in Emails

You know how when you become comfortable with someone, you sometimes may become a little more blunt? Sometimes we may not notice if the tone of our emails is overly positive or negative. It’s important to occasionally stop and reflect that we are treating the people around us with respect. The Unconscious Bias project is…