Schedules

Upcoming

Spring 2021 Kick-off

Zoom Meeting ID: 935 113 0111
Passcode: 0101

4-6 pm every day (2-4 pm Friday 2/5)

Date Event
February 1st Introduction to Probability and Neural Networks with Prof. Chris Rogan
Installing ML Libraries with Prof. David Johnson
February 2nd Introduction to Neural Networks with Chris Harvey
February 3rd Why Programming Matters with Chris Harvey
February 4th Quantum Machine Learning with Prof. Elizabeth Behrman
February 5th Introduction to Github with Dalton Hahn
Keynote Speaker Brian McClendon
Flyer

Watch here for updates on our schedule for Spring 2021!

Past

Spring 2020

Thursdays, 4-5 pm in Malott 6051

Date Event
January 23rd Classes Start: No Meeting
January 30th Introduction to Statistics with Prof. Chris Rogan
February 6th Overview of ML Algorithms for Text
February 13th Introduction to Semester Project with Dr. Midam Kim
February 20th Elections and Paper Dicussion: TBD
February 27th ML for Audio Processing with Ali Khalighifar
March 5th Paper Discussion: TBD
March 12th Spring Break: No Meeting
March 19th Machine Learning, Security, and Privacy with Professor Drew Davidson
March 26th Project Review with Dr. Midam Kim
April 2nd Working Meeting
April 9th Working Meeting
April 16th Ethics of Machine Learning with Professor John Symons
April 23th Working Meeting
April 30th Working Meeting
May 7th Working Meeting
May 14th Finals Week: No Meeting

Fall 2019

Wednesdays, 4-5 pm in Malott 6051

Date Event
August 28th Classes Start: No Meeting
September 4th Statistics Crash Course with Prof. Chris Rogan
September 11th Linear Regression Tutorial with Dr. Sadia Khalil
September 18th Machine Learning Basics with Prof. Chris Rogan
September 25th Introduction to Neural Networks Tutorial with Dr. Sadia Khalil
October 2nd Classifying Insects with Neural Networks with Ali Khalighifar
October 9th Brainstorming Session
October 16th Brainstorming Session
October 23rd Mining Imperfect Data with Prof. Jerzy Grzymala-Busse
October 30th Meeting Cancelled - Weather
November 6th Brainstorming Session
November 12th Fast Machine Learning with Professor Javier Duarte
November 19th Brainstorming Session
November 26th Brainstorming Session
December 3th Gaussian Processes with Dr. Hartwin Peelaers
December 10th Brainstorming Session
December 19th Finals Week: No Meeting

Summer 2019

Wednesdays, 4-5 pm in Malott 6051

Date Event
June 26th Statistics Crash Course by Dr. Chris Rogan
July 3rd Machine Learning Basics by Dr. Chris Rogan and Linear Regression Tutorial by Dr. Sadia Khalil
July 10th Paper Discussion: Conditional Neural Processes Discussion Slides
July 17th Paper Discussion: Quantum Machine Learning
July 24th Tutorial: Introduction to Tensorflow
July 31st Paper Discussion: Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
August 7th Paper Discussion: Generative Adversarial Nets Presentation
August 14th Tutorial: Generative Adversarial Network Tutorial (see ML Resources page for a more recent version of this tutorial)

Spring 2019

Date Event
January 24th Introductions and Goal Setting
January 31st Machine Learning Basics by Dr. Chris Rogan
February 7th No Meeting - Campus Closed
February 14th Introduction to Neural Networks and Predictive Modelling by Dr. Rogan & Predicting Lawrence Temperatures by Duncan
February 21st Reviews are Terrible by Dr. Jennifer Delgado & Tagging Low pT b-jets by Erich Schmitz
February 28th Analyzing Peculiar Velocities from Kinetic Sunyaev-Zel’dovich Effect by Yuyu & Machine Learning with the MIP Timing Detector by Margaret
March 7th Towards measurement of the UCEHR with the ARA experiment and Neutrino and UHECR detection through RADAR technique by Uzair & Using CNNs to Extract Signal from bbar Backgrounds in double Higgs Production by Dr. Han Kim
March 14th No Meeting - Spring Break!
March 21st Follow up and brainstorm: Predicting Lawrence Temperature
March 28th Follow up and brainstorm: AReviews are Terrible & Tagging Low pT b-jets
April 4th Follow up and brainstorm: Analyzing Peculiar Velocities from Kinetic Sunyaev-Zel’dovich Effect & Analyzing LGAD Sensor Waveforms for the MTD
April 11th Follow up and brainstorm: Neutrino and UHECR Detection through RADAR Technique & Using CNNs to Extract Signal from bbar Backgrounds in double Higgs Production
April 18th Present on Progress: Using CNNs to Extract Signal from bbar Backgrounds in double Higgs Production
April 25th Present on Progress: Reviews are Terrible & Predicting Lawrence Temperature
May 2nd Present on Progress: Analyzing Peculiar Velocities from Kinetic Sunyaev-Zel’dovich Effect & Tagging Low pT b-jets
May 9th Feedback, future plans and goal assessing

Spring 2019 Projects