Skip Navigation

Wednesday, April 6, 2022

All day
 
 
Before 1am
1am
2am
3am
4am
5am
6am
7am
8am
9am
10am
11am
12pm
1pm
2pm
3pm
4pm
5pm
6pm
7pm
8pm
9pm
10pm
11pm
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Fitness Class | Strong Nation

Fitness Class | Strong Nation

Event Date: 
Tuesday, January 25, 2022 - 2:00pm to 3:00pm
Location: 
North Hall 117
Event Details: 

Join OSU-Tulsa Wellness for Strong Nation fitness class - Tuesdays and Wednesdays at 2 p.m.


Spring 2022 fitness classes will be held in-person, but can also be attended virtually via Zoom. Please email the Wellness Center at tulsa.wellness@okstate.edu for the Meeting ID and password for each class.

Classes start Jan. 24.

Contact Name: 
OSU-Tulsa Wellness
Contact Email: 
tulsa.wellness@okstate.edu
Tags/Keywords: 
Repeats every week every Tuesday and every Wednesday until Wed Apr 27 2022 except Tue Mar 15 2022, Wed Mar 16 2022.
2:00pm to 3:00pm
 
 
CANCELED Resume Review

CANCELED Resume Review

Event Date: 
Wednesday, April 6, 2022 - 3:00pm to 5:00pm
Location: 
North Hall 103
Event Details: 

This event has been canceled.


Resume Review

Walk-in and receive resume feedback.

  • Thursday, February 10 | 3 – 5 PM | North Hall 103
  • Wednesday, March 2| 2 – 4 PM | North Hall 103
  • Wednesday, April 6 | 3 – 5 PM | North Hall 103

OSU-Tulsa Career Services offers events to help students with their job search. All events are free for current students unless specified. Students must activate their account through HIREOSUGRADS.COM in order to register for many events.

Contact Name: 
OSU-Tulsa Career Services
Contact Email: 
tulsa.careerservices@okstate.edu
Contact Phone Number: 
918-594-8404
Tags/Keywords: 
3:00pm to 5:00pm
 
Unsupervised Learning with EM Algorithm | Virtual Workshop

Unsupervised Learning with EM Algorithm | Virtual Workshop

Event Date: 
Wednesday, April 6, 2022 - 3:30pm to 5:00pm
Location: 
Online
Event Details: 

Virtual Workshop | Unsupervised Learning with the Expectation Management (EM) Algorithm
Wednesday, April 6, 2022
3:30-5 p.m.

The Expectation Maximization (EM) algorithm as implemented in Unsupervised Learning for optimizing untagged data clustering models will be explained in simple terms. An EM implementation running in Jupyter Notebook will be demoed live taking unlabeled data as input, performing the EM clustering logic, and displaying the resulting data clusters in colors.

Speaker Bio:
Amir Bahmanyari is an Advisory Engineer in the Dell Technologies’ Data-Centric Workload & Solutions team. Amir joined Dell Technologies Big Data Analytics team in late 2017. He helps Dell Technologies’ customers to build their Big Data solutions. Amir has been active in Artificial and Evolutionary Intelligence work since late 1980’s when he was a Ph.D. candidate student at Wayne State University, Detroit, MI. Prior to Dell, Amir worked for a major automotive company, a major financial company, several startups in the Silicon Valley and as a Big Data Analytics Platform Architect at a major retailer.

Workshop Audience:
This is a light level statistics/probability session on how Unsupervised (data with no labels) clustering algorithms may be implemented, in this case applying statistical Expectation Maximization principles. Its great to have an idea on Normal/Gaussian Distribution and how multi-modal probabilities are calculated. A simple high level description will be given during the presentation.

Please note this is an online event. The online event URL will be sent to you in an email confirming your registration. Register at https://okstate.libcal.com/event/8928887.

Presented by Edmon Low Library Faculty and brought to you by the OSU-Tulsa Library.

Event Cost: 
0
Tags/Keywords: 
3:30pm to 5:00pm
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Add to My Calendar