Note: New Location and Time. This event only.
The WBI Machine Learning Collider will be a collaboration between Gem City ML and WBI and will be on May 18th from 2-4pm at WBI.
The Wright Brothers Institute (WBI) mission is…
Several speakers will give short presentations.
Topic ideas:
2023 can't be all AI work and no play.
Nate Denlinger will talk about how he built an AI pong game from scratch!
Typically, AI/ML engineers use an ML framework: TensorFlow, Keras, PyTorch etc. to build their networks.
Nate wanted…
Excited to announce we have two speakers again for February!
We are going to finish the MLOps Workshop from January.
To get the most out of this meet up please bring a computer with Python and docker installed.
Dr. Richard…
Excited to announce we have two speakers for January! It is jam backed to kick off 2023 strong.
We are going to explore:
Zero Sum Games (but one real winner!)
December's Machine Learning Group will be loosely based on GANs. GANs (generative adversarial networks) are a class of machine learning frameworks where neural networks (NN) compete in a zero sum game.
In this…
Evelyn J. Boettcher will give a tutorial on K-means and Gaussian Mixture model.
These methods are used in unsupervised learning and sound a bit scary.
This tutorial breaks down what K-means and GMS is and how to apply them.
Dr. Aaron Nielsen will talk on modeling CO2 in office spaces to predict occupancy!
ML/AI is more than just inputting data in to get same type of data out.
It can be used to predict something new, like feed in…
Dr. Hairong Gu will present his PhD research topic on Robust Adaptive Autonomous Systems (RAAS) for Optimization.
Many complex real-world experimental scenarios, particularly in quest of prediction accuracy, often encounter difficulties to conduct experiments using an existing experimental procedure for…
Challenge Problem:
Guest Speaker: Dr. Aaron Nielsen from AFIT will be talking about
"Machine Learning for Magnetic Navigation" one of the Air Force AI Accelerator projects.
To Learn More see MIT Magnav
A walk through a personal project that my family
used to protect our child from unauthorized social media posts.
Scanning multiple social media posts is too time-consuming for parents to do,
however it is not that CPU intensive.
We used…
Using ML-AI to test the randomness of a python random number generator.
Since this is our first meetup, I thought I would embrace the randomness.
Going to work through a CoLab workbook that
will test various random / pseudo random…