2nd Annual Data Science Hackathon
DEADLINE & REGISTRATION:
February 22, 2019 - Register online HERE
Limited lodging is available and can be reserved when registering before the deadline.
*Participants may also register for the competition in person at the event.
DATE: Friday-Saturday, March 1-2, 2019
WHAT IS A HACKATHON ? A Hackathon is an event, typically presented as a competition to solve a posed problem, where the participants work together in teams over a short period of time, typically 24 hours. According to Hackathons Anonymous, "Hackathons provide a venue for self-expression and creativity through technology. People with technical backgrounds come together, form teams around a problem or idea, and collaboratively code a unique solution from scratch."
The word "hackathon" is a portmanteau of the words "hack" and "marathon", where "hack" is used in the sense of exploratory programming, not its alternate meaning as a reference to computer crime. - Wikipedia
THE COMPETITION: Saint Mary's College is hosting its 2nd Annual Data Science Hackathon, a competition for teams of college students (or recent graduates). Note that teams may not exceed 4 members. Cash* prizes will be awarded to the top teams of undergraduate students solving the data problem presented. This year the competition is centered around image processing. This is a great opportunity to try solving data science problems while learning more about the field and the myriad opportunities for a data scientist.
*This event and cash prizes sponsored by a grant from the Lilly Endowment.
- The competition will begin Friday, March 1, at 5pm, and end Saturday, March 2, at 6pm.
- Prize amounts for undergraduate (or recent graduates) teams: 1st place - $2000, 2nd place - $1000, 3rd place - $500
- Note that "recent graduates" includes individuals that recieved a baccelaureate degree within the past year and are not currently enrolled in a graduate program.
- Teams consisting of graduate students may still compete, and are encouraged to, but are not elligible for the cash prizes.
- Participants will work with image files to produce predictive models for classifying images.
- Participants will probably want to have basic familiarity with an image processing library such as PIL(Python Imaging Library) as well as machine learning tools similar to scikit-learn, TensorFlow, etc.
- Winners will be determined by the accuracy of predictions made on a test data set.
- Competition Rules
PROGRAM & TIMES (in Eastern Standard Time):
|Friday, March 1||5:00-6:00pm||Registration, Carroll Auditorium|
Dinner & Competition Kick-off
|Saturday, March 2||2:00pm||Test Data Set Available|
|4:00pm||Deadline for Solution Submission|
QUESTIONS: Contact Dr. Kristin Kuter at (574) 284-4458 or firstname.lastname@example.org