A Gentle Intro to Bayesian & Kalman Filters, plus Model Metrics!

The meeting will take place in room 203D, DeVos Center, Grand Valley State University (downtown, Pew campus). Parking is available in the Seward Parking Ramp, 520 Lake Michigan Dr., Grand Rapids, MI, 49504.

We look forward to a presentation by Michael Bloem, PhD, entitled "A Gentle Introduction to Bayesian & Kalman Filters." Michael will introduce the Discrete Bayes Filter by demonstrating how such a filter can estimate the location of a dog in an office over time using measurements sent by its IoT-enabled collar. He will then introduce the Kalman Filter as a type of Bayes Filter and share results of applying a Kalman Filter to the estimation of trajectories of aircraft on the airport surface from surveillance data. Elliott Church will also present a brief talk on "Interpreting Model Metrics: Precision, Recall & F1."

This meeting is sponsored by Mosaic Data Science (https://www.mosaicdatascience.com) and the Grand Valley State University Department of Statistics (https://www.gvsu.edu/stat/). Thank you, sponsors! And special thanks to GVSU Statistics professors Dr. Paul Stephenson and Dr. David Zeitler for arranging the venue and providing refreshments!

Pizza and soft drinks will be served after the first talk.

Bios:

Michael Bloem is a principal data scientist with Mosaic Data Science. In this role, he leads and executes the design, development, and deployment of data science-enabled solutions with organizations in a variety of verticals. Prior to joining Mosaic Data Science, he led the development of analytics that enabled new Internet-of-Things-based products and services at Steelcase, Inc. and researched air traffic management in the Systems Modeling and Optimization branch of the Aviation Systems Division at NASA Ames Research Center. He received his B.S.E. degree with majors in electrical and computer engineering and economics from Calvin College in 2004 and his M.S. degree in electrical and computer engineering from the University of Illinois at Urbana-Champaign in 2007. In 2015, Michael received his PhD in operations research from the Department of Management Science and Engineering at Stanford University.

Elliott Church is an organizer of Data Science & Analytics West Michigan and co-director of Big Data Ignite. Big Data Ignite is a nonprofit based in Grand Rapids, Michigan. Its mission is to provide education and training in areas of computing technology and theory that hold the greatest potential for innovation and benefit, such as data science, machine learning, predictive analytics, IoT, artificial intelligence, and cloud computing.