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 http://blogs.microsoft.com/jobs/why-a-machine-learning-job-at-microsoft-means-the-chance-to-try-amazing-things/.  There is also a writeup on the What If page and a video at https://www.youtube.com/watch?v=Iu8OvGeLL5c.  You can…

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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…

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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…

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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…

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Live from Build 2016: Videos

At Build 2016, I interviewed some of Microsoft’s great technologists in the exciting areas of IoT, big data, machine learning, C#, and Visual Studio.  I’ve embedded them all below.  In addition, you might enjoy my team’s summary of the Build 2016 announcements at Our Reaction to the News and Announcements Made at Build 2016.  You…

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Machine Learning at Build 2016

For a machine learning junkie like me, there was lots to love at Build 2016!  In this post, I’ll fill you in on the machine learning announcements from Build. In summary, we announced previews of the Microsoft Bot Framework and the Microsoft Cognitive Services (formerly Project Oxford) for adding intelligence to your applications.  We showcased…

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How To Optimize Your March Madness Bracket with Azure Machine Learning

In the latest episode of DevRadio, I interviewed Damon Hachmeister from the Azure Machine Learning team.  Damon runs a competition for Microsoft employees to see who can best predict the results of the NCAA March Madness Tournament using Azure Machine Learning.  Last year, he won second place himself, and he walks us through his algorithm. …

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Using Azure Machine Learning to Predict Who Will Survive the Titanic

One of my “Introduction to Azure Machine Learning” talks demonstrates how to use Azure Machine Learning to make predictions.  The example I use is predicting whether a passenger on the Titanic will survive, given information like their age, gender, class of ticket, ticket fare, etc.  (You can download the Titanic dataset from Kaggle.)  But these…

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Eat Sleep Code podcast on Azure Machine Learning

I was honored to be asked to speak on the Eat Sleep Code podcast by Telerik’s Ed Charbeneau on the topic of machine learning.  We talked about what machine learning is, what it can do, and how it works.  Then we chatted about Azure Machine Learning specifically and how to use Azure Machine Learning Studio. …

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MLConf Atlanta 2015 Keynote: Fun with Mind Reading

I was honored to deliver the opening keynote at ML Conf Atlanta on September 18, 2015.  The entire event was recorded and is available at https://www.youtube.com/playlist?list=PLrbAIdPI69PjHPGmEQwMYMPfN0j-d9Ij5.  I spoke on my lie detector work.  Using the EPOC+ headset from Emotiv, I captured EEG (brainwave) data from people when they were telling the truth and when they…

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