MEETUPS & TRAINING
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PAST EVENTS

StampedeCon AI Summit

Date: October 17, 2017

Time: 8:00 AM – 5:00 PM CDT

Location: Eric P Newman Education Center, WUSTL Medical School - 320 S Euclid, St. Louis, MO 63110

StampedeCon AI Summit

Hear from expert speakers and network with other regional data scientists and machine learning practitioners at the inaugural StampedeCon AI Summit on October 17, 2017 in St. Louis, MO

St. Louis Machine Learning & Data Science – “Big Data Isn’t Evil, People Are”

Date: September 19, 2017

Time: 6:00PM

Location: 4240 Duncan Ave., Saint Louis, MO

St. Louis Machine Learning & Data Science – “Big Data Isn’t Evil, People Are”

Dr. Fredric Metzger is the Associate Chief of Staff for Mental Health Services at the VA St. Louis Health Care System. This talk will review how big data influences day-to-day operations in a mental health system that serves an average of 16,000 veterans a year. He will review the areas where big data adds value to clinical care, common pitfalls that end line users seem to make in utilizing large data systems, techniques to improve the utility of big data systems, and what developers can do to mitigate these problems.

Meetup – St. Louis Machine Learning & Data Science

Date: August 8, 2017

Time: 6:00PM

Location: 4240 Duncan Ave., Saint Louis, MO

Meetup – St. Louis Machine Learning & Data Science

Topic: “Reproducibility in Data Science”

Speaker: Leslie McIntosh, PhD

What is the big deal regarding reproducibility of scientific work?

How can data science and machine learning be part of the solution to some of the problems?

This talk will be an overview of the current state of the reproducibility crisis currently affecting many scientific fields as well as an overview of how machine learning, informatics, and statistics are providing solutions.

 

Meetup – Saint Louis Deep Learning

Date: July 18, 2017

Time: 6:30PM

Location: 930 Kehrs Mill Rd., Ballwin, MO

Meetup – Saint Louis Deep Learning

Topic: “Re-energize over all things Deep Learning”

Discussion of vision recognition systems with domain transfer among multiple, diverse sets of training images

Sponsored by SketchDev and Apex Systems.