February 2021: unintended consequences of machine learning and Shiny Nirvana

Hi everyone!

The second session of 2021 will be on February 17th, join us from 5.30pm online! As usual, the meeting will be open for all to attend, and newcomers / beginners are very welcome.

Our online meetings are kindly being enabled by Red Hat (https://www.redhat.com/). In order to join us you need to register with MeetUp (https://www.meetup.com/EdinbR/).

Our speakers are Dave Evans and Eric Nantz.

• Dave Evans (https://twitter.com/dlesomewhere) was the first data scientist at FreeAgent and currently leads the data science and analytics teams. Before joining FreeAgent, Dave worked at the University of California, San Diego and CERN.
• Eric Nantz (https://twitter.com/theRcast) is a principal research scientist at a large life sciences company, creating innovative analytical pipelines and capabilities supporting study designs and analyses. Outside of his day job, Eric is passionate about connecting with the R community as the creator/host of the R-Podcast, Shiny Developer Series, and the recently-launched R Weekly Highlights podcast.

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## The unintended consequences of machine learning: detecting nonsense with a markov model

### Dave Evans
In this talk I'll discuss how I created a transition matrix from character data to filter fraudulent signups to our web application and illustrate how using machine learning can easily introduce unwanted biases.