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DMBI Data Hackathon

Ben Gurion University of the Negev

The DMBI data-hackathon will take place between May 16th-17th, 2019
BGU Main Campus, Carole and Marcus Weinstein Information Systems Engineering and Cyber Security Building (96)
Number of participants is limited! Hurry up and register
** Don't have a group yet/missing a group member? Check out our forum
** Check out the presentations from the preparation meet up
** Join the Facebook group for all the latest updates
 

dmbi2019datahack

About the DMBI Data Hackathon

The SISE DMBI annual conference will be preceded by a Data Hackathon for leveraging the utilization of advanced machine learning and deep learning algorithms and techniques for solving real world challenges.
The hackathon is planned to be a 30-hours event where data enthusiastic programmers, designers and  researchers combine their skills to build innovative solutions for real world problems aiming at empowering our society.

The hackathon will include practical tutorials from senior data-scientists from various fields.


The winners will be announced at the conference.

**Please note that the DMBI conference registration is done separately in the DMBI conference website

The Conference
Speakers

Information

Where
When

The DMBI Data Hackathon 2018 will take place between Tuesday, May 8th and Wednesday,  May 9th

The winner will be announced @ DMBI conference on May 10th.

Information

Where
When

BGU Main Campus Beer-Sheva, Israel, Carole and Marcus Weinstein Information Systems Engineering and Cyber Security

(Building 96)

The DMBI Data Hackathon 2019 will take place between Thursday, May 16th and Friday,  May 17th

The winner will be announced @ DMBI conference on July 4th.

Who

The DMBI Data Hackathon 2019 will host many mentors from several companies from the industry.

You will have an opportunity to work, learn and mingle with the best in the field

What

The DMBI Data Hackathon 2019 will contain 3 parallel group challenges.
Each group may contain up to five members

The Challenges

Click for some general tips

Click for the meetup's video

The Data Hackathon will include challenges related to the following domains

Main Challenges:

Recommendation Systems - Click Through Rate (CTR) Prediction (Details) (Presentation)

Forecasting electricity consumption for Sdom site (Details) (Presentation)

Cyber Security - Device fingerprinting (Details) (Presentation)

Special Creative Challenge:

ACC - Predicting Cryptocurrency Behavior (Details)

 (Presentation)

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challenges

The Prizes

The winners of each of the main challenges will receive a prize of:

5000 ILS

The winners of the creative challenge will receive a new set of headphones

The Rules

Teams of  up to 5 participants are allowed. All team members must have registered to the hackathon.

The hackathon's organizers do not claim ownership of your solutions built during the hackathon; but by participating you are granting the organizers a free right to use, reproduce, publish and sublicense your solution.

You should start building your solution only after the competition officially begins

Teams may be subject to a code-review towards the end of the competition.

Rules

The Schedule & Judges

Day 1, 16/5: 

8:30 - Arrival and light breakfast

9:00 - Hackathon starts! Challenges overview

11:30 -  Tutorial - "Keras++" by Yam Peleg

14:00 - Lunch

19:00 -  Tutorial - "Best practices for applying deep learning models on GPU" by Lior Sidi

20:30 - Dinner

 

Day 2, 17/5:

00:00 - Night snacks

7:00 - Breakfast

9:00 - First judging round

11:30 - Winners announcement, Hackathon ending!

 

Judges:

Ziv Gome,  Algo Be'er Sheva Lead, Taboola

Itsik MantinLead Scientist,  Imperva

Tal Sinko, Director of Energy Department, ICL

Prof. Lior Rokach, Head of the Department of Software and Information Systems Engineering, BGU

Prof. Bracha ShapiraVice Dean for research - Faculty of Engineering Science, BGU

Nathaniel ShimoniResearch Data Scientist, Grid4C

Liat Antwarg, data scientist - PhD student

Guy Shtardata scientist - PhD student

Adir Solomon, data scientist - PhD student

Amit Livne, data scientist - MSc student

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Sponsors

If you want to be a sponsor, please contact : bracha.shapira@gmail.com
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Sponsers
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The Tutorials

11:30 - "Keras++" by Yam Peleg

Yam Peleg is the founder of Deep Trading ltd. He is also a major contributor to the Python community and to Keras specifically who spoke at dozens python conferences around the world, including PyData, PyCon, SciPy and many more.

19:00 - "Best practices for applying deep learning models on GPU" by Lior Sidi

Lior is the Co-founder and CEO at braincast.ai, a new startup that model humans decisions using sequential patterns. He holds 10 years of experience in data-driven projects, mostly worked with ML and Deep-Learning to solve fraud and cybersecurity problems. 

Last year, Lior and his team won the first place at the medical challenge and second place in the entire competition using deep-neural collaborative filtering network to identify drug-to-drug interaction. 

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