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A casual data science conference by DataHack .

October 26th. The Alliance House. Jerusalem.
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Information

DataConf brings together data science and machine learning experts from the top companies in Israel for a day of knowledge sharing.

Talks

Talks will be given by DataHack sponsors and are reviewed by the conference team to ensure they're deep and technical.

Date & Time

DataConf 2017 will take place on Thursday, October 26th, between 09:00 and 18:00.

Location

The Alliance House, 2nd floor, room 7 - Ki'akh 5, Jerusalem. The event is hosted in partnership with MassChallenge Israel and New Spirit.

Registration

Registration is free, open to all and will begin soon.

Transportation

We suggest arriving by bus to Jerusalem's central bus station and either walking (17 minutes) or taking the light train (3 minutes, 3 stops) and getting off at the Davidka stop, right next to the Alliance House.

FAQs

Yes, it's free. Yup, there's food. Talks do assume theoretical or professional knowledge. You can also wander around the building and see DataHackers working on their projects (no feeding them, though!).

Agenda

Lectures

09:30 - 10:10 // Yakov Shambik, Vehicles Detection Technology Manager @ Mobileye

Eye of the Beholder: Object detection in Mobileye using Deep Neural Networks and other techniques

10:15 - 10:55 // Ofer Ron, Head of Data Science @ LivePerson

Concepts before machinery: Harnessing the power of domain expertise for machine-learning-based solutions

11:00 - 11:40 // Alex Ran, Distinguished Engineer @ Intuit

Using Data Science for Automated Accounting

11:50 - 12:30 // Meir Maor, Chief Architect @ SparkBeyond

Developing Simple and Stable Machine Learning Models

12:35 - 13:15 // Roii Spoliansky, Lead Data Scientist @ PayPal

Active learning optimization as a function of label cost and mistake cost

Lectures (second half)

14:10 - 14:50 // Gil Chamiel, Director of Data Science and Algorithms @ Taboola

Don’t believe everything your network tells you: Uncertainty in deep learning for recommender systems

14:55 - 15:35 // Adina Lederhendler, Senior Data Scientist @ Neura

General vs. subpopulation-specific modeling: When and why you need to get specific

15:40 - 16:20 // Yonatan Wexler, VP R&D @ Orcam

Fast and Furious Face Recognition: Efficient metric learning for video stream data

16:30 - 17:10 // Itamar Ben-Ari, Research Scientist @ Intel

Differentiable Memory Allocation Mechanism For Neural Computing

17:15 - 18:00 // Dr. Oshri, Senior Research Scientist @ Rafael

Multi-agent deep reinforcement learning in communication networks

Registration





Attending the hackathon


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