Lie Detection using Azure Machine Learning with Jennifer Marsman
Can you detect lies with machine learning? Jennifer Marsman can! Carl and Richard chatted with Jennifer while at the NDC conference in Oslo. Jennifer talked about gathering EEG data with Emotiv headsets to do lie detection by taking base line (known true and known false) questions and then applying Azure Machine Learning to classify the data. The conversation dives into the different machine learning techniques available on Azure and how certain algorithms are more effective on different data sets - it turns out EEG data works great with deep neural networking! There are lots of different opportunities in the machine learning space, time to check it out!
Guests:
Jennifer Marsman
Jennifer Marsman is the Principal Software Engineer of Microsoft’s “AI for Earth” group, where she uses data science, machine learning, and artificial intelligence to aid with clean water, agriculture, biodiversity, and climate change. Jennifer is a frequent speaker at software development conferences around the world. Since 2016, Jennifer was recognized as one of the “top 100 most influential individuals in artificial intelligence and machine learning” by Onalytica, reaching the #2 slot in 2018. She has been featured in Bloomberg for her work using EEG and machine learning to perform lie detection. In 2009, Jennifer was chosen as "Techie whose innovation will have the biggest impact" by X-OLOGY for her work with GiveCamps, a weekend-long event where developers code for charity. She has also received many honors from Microsoft, including the “Best in Role” award for Technical Evangelism, Central Region Top Contributor Award, Heartland District Top Contributor Award, DPE Community Evangelist Award, CPE Champion Award, MSUS Diversity & Inclusion Award, Gold Club, and Platinum Club. Prior to becoming a Developer Evangelist, Jennifer was a software developer in Microsoft’s Natural Interactive Services division. In this role, she earned two patents for her work in search and data mining algorithms. Jennifer has also held positions with Ford Motor Company, National Instruments, and Soar Technology. Jennifer holds a Bachelor’s Degree in Computer Engineering and Master’s Degree in Computer Science and Engineering from the University of Michigan in Ann Arbor. Her graduate work specialized in artificial intelligence and computational theory. Jennifer blogs at http://blogs.msdn.microsoft.com/jennifer and tweets at http://twitter.com/jennifermarsman.
Links:
- Free Programming Books https://github.com/vhf/free-programming-books
- Emotiv Headset http://emotiv.com/
- Azure Machine Learning https://azure.microsoft.com/en-us/services/machine-learning/
- Cheat Sheet for Azure Machine Learning http://aka.ms/azuremachinelearningcheatsheet
- Bloomberg article on Jennifer http://www.bloomberg.com/news/articles/2016-02-22/inside-the-new-microsoft-where-lie-detection-is-a-killer-app
- Cognitive Services https://www.microsoft.com/cognitive-services/
- Bot Framework https://dev.botframework.com/
- Jennifer's Blog https://blogs.msdn.microsoft.com/jennifer/
- Kaggle https://www.kaggle.com/
- Computational Network Toolkit https://github.com/Microsoft/CNTK
- Bing Predicts http://www.bing.com/explore/predicts