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A/B Testing Theory and Practice (TrueMotion Data Science Lunch Seminar)

For a while now the data science team at TrueMotion has been meeting for a weekly internal lunch seminar, and recently we’ve started recording the discussions when the topic is of broader interest. For instance, this week I led a discussion of the fundamental theory behind A/B testing, as well as best practices for its real-world application.

You can check out full video of the presentation below. Also, you can view and download the slides on SlideShare, as well as the source code for the slides (which were created as a Jupyter notebook) here. Enjoy!

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Nicholas Arcolano

Senior Data Scientist at TrueMotion. Formerly Runkeeper, MIT Lincoln Laboratory, Harvard SEAS Ph.D. Loves running, though it doesn't always love him back.

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