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Events for September 18, 2018
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Resume Lab - Bring your Laptop!
Tue, Sep 18, 2018 @ 01:00 PM - 02:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Labs are an activity where you can work on your resume in the presence of a career advisor to get tips on the spot.
Bring your Laptop!
For more information about Labs & Open Forums, please visit viterbicareers.usc.edu/workshops.Location: Ronald Tutor Hall of Engineering (RTH) - 211
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
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Epstein Institute Seminar - ISE 651
Tue, Sep 18, 2018 @ 03:30 PM - 04:50 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Binil Starly, Professor, North Carolina State University
Talk Title: The Convergence of Connected Machines, Deep Learning and Blockchain Technologies for Driving Manufacturing-as-a-Service (MaaS) Platforms
Host: Dr. Yong Chen
More Information: September 18, 2018.pdf
Location: Ethel Percy Andrus Gerontology Center (GER) - 206
Audiences: Everyone Is Invited
Contact: Grace Owh
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Cisco Info Session
Tue, Sep 18, 2018 @ 06:00 PM - 08:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
If technologies that give us smart cities, connected cars, and handheld hospitals interest you, come learn what Software Engineers are doing at Cisco Systems. With 20 consecutive years on Fortune's "100 Best Companies to Work For" list, see if Cisco is the place for you to grow and thrive. We offer both Full Time and Internship Opportunities in Software Engineering. Resumes are welcome!
Location: Seeley G. Mudd Building (SGM) - 101
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
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Deepcurrent Machine Learning Series Lesson #0
Tue, Sep 18, 2018 @ 07:30 PM - 08:30 PM
Viterbi School of Engineering Student Organizations
Workshops & Infosessions
Throughout this series, we will be working with a Kaggle dataset to make predictions about taxi fares in New York City. We will be providing an introduction to various Machine Learning algorithms and using several Python libraries for data preparation, data analysis, data visualization, and predictive analytics.
The first lesson is on Tuesday, September 18th.
Prequisites:
Prior programming knowledge, especially in Python, is highly recommended.
Tentative Schedule:
Lesson 0 - September 18th, 2018 (Free pizza!! RSVP: https://goo.gl/forms/7SeLEHKDN2lgsqnN2 )
Lesson 1 - October 9th, 2018
Lesson 2 - October 23rd, 2018
Lesson 3 - November 6th, 2018
Lesson 4 - November 13th, 2018*
*Final project presentations (Prizes will be awarded)
To get notified about USC@AAAI's events, subscribe to our newsletter: http://uscaaai.com/Location: TBD
Audiences: Everyone Is Invited
Contact: AAAI@USC
