DataConf is a casual data science conference by DataHack.
This is a list of agendas and resources of past and upcoming iterations of the conference.
You can find us on our website, Facebook, Meetup, Twitter and join our monthly newsletter.
Agendas:
Facebook event page: https://www.facebook.com/events/555816034629213
Meetup event page: https://www.meetup.com/preview/DataHack/events/234096133
Adi Nesher, PayPal - Defining the right label: How to create a valuable population tag in situations of uncertainty ------------------------------------------------------------------------------------Speaker: Adi Nesher, PayPal
Title: Defining the right label: How to create a valuable population tag in situations of uncertainty
Speakers: Amalia Bryl & Shahar Wilner, EDvantage
Title: Can machine learning empower education?
Held on Thursday, October 26th, between 09:00 and 18:00, DataConf 2017 drew a crowd of over 100 data science and machine learning experts from the top companies in Israel for a day of knowledge sharing.
Event website: http://dataconf.org/
Meetup event page: https://www.meetup.com/DataHack/events/244004618/
Facebook event page: https://www.facebook.com/events/1623405514382356/
Yakov Shambik, Mobileye - Eye of the Beholder: Object detection in Mobileye using Deep Neural Networks and other techniques
Speaker: Yakov Shambik, Vehicles Detection Technology Manager @ Mobileye
Title: Eye of the Beholder: Object detection in Mobileye using Deep Neural Networks and other techniques
Ofer Ron, LivePerson - Concepts before machinery: Harnessing the power of domain expertise for machine-learning-based solutions ---------------------------------------------------------------------------------------------------------------------------
Speaker: Ofer Ron, Head of Data Science @ LivePerson
Title: Concepts before machinery: Harnessing the power of domain expertise for machine-learning-based solutions
Video: https://www.youtube.com/watch?v=wR2u7V8D5Y8&list=PLZYkt7161wELbPfqY92vAEmKVhsyxg5Nk&index=3
Speaker: Alex Ran, Distinguished Engineer @ Intuit
Title: Using Data Science for Automated Accounting
Video: https://www.youtube.com/watch?v=_ZBos8T35D0&list=PLZYkt7161wELbPfqY92vAEmKVhsyxg5Nk&index=2
Slides: https://github.com/DataHackIL/DataConf/blob/master/DataConf_2017/DataConf_2017_Intuit_Alex_Ran.pdf
Speaker: Meir Maor, Chief Architect @ SparkBeyond
Title: Developing Simple and Stable Machine Learning Models
Roii Spoliansky, PayPal - Active learning optimization as a function of label cost and mistake cost -----------------------------------------------------------------------------
Speaker: Roii Spoliansky, Lead Data Scientist @ PayPal
Title: Active learning optimization as a function of label cost and mistake cost
Gil Chamiel, Taboola - Don’t believe everything your network tells you: Uncertainty in deep learning for recommender systems -----------------------------------------------------------------------------
Speaker: Gil Chamiel, Director of Data Science and Algorithms @ Taboola
Title: Don’t believe everything your network tells you: Uncertainty in deep learning for recommender systems
Adina Lederhendler, Neura - General vs. subpopulation-specific modeling: When and why you need to get specific -----------------------------------------------------------------------------
Speaker: Adina Lederhendler, Senior Data Scientist @ Neura
Title: General vs. subpopulation-specific modeling: When and why you need to get specific
Video: https://www.youtube.com/watch?v=ft36Tq5FUz0&list=PLZYkt7161wELbPfqY92vAEmKVhsyxg5Nk&index=4
Yonatan Wexler, Orcam - Fast and Furious Face Recognition: Efficient metric learning for video stream data -----------------------------------------------------------------------------
Speaker: Yonatan Wexler, VP R&D @ Orcam
Title: Fast and Furious Face Recognition: Efficient metric learning for video stream data
Itamar Ben-Ari, Research Scientist @ Intel - Differentiable Memory Allocation Mechanism For Neural Computing -----------------------------------------------------------------------------
Speaker: Itamar Ben-Ari, Research Scientist @ Intel
Title: Differentiable Memory Allocation Mechanism For Neural Computing
Video: https://www.youtube.com/watch?v=DAHTNElXXgk&list=PLZYkt7161wELbPfqY92vAEmKVhsyxg5Nk&index=4
Dr. Oshri, Rafael - Multi-agent deep reinforcement learning in communication networks -----------------------------------------------------------------------------
Speaker: Dr. Oshri, Senior Research Scientist @ Rafael
Title: Multi-agent deep reinforcement learning in communication networks
Slides: https://github.com/DataHackIL/DataConf/blob/master/DataConf_2017/DataConf_2017_Rafael.pdf
Held on Thursday, October 4th, between 09:00 and 18:00, DataConf 2018 drew a crowd of over 100 data science and machine learning experts from the top companies in Israel for a day of knowledge sharing.
Event website: http://dataconf.org/
Meetup event page: https://www.meetup.com/DataHack/events/255082526/
Facebook event page: https://www.facebook.com/events/1967922793269453/
Speaker: Dana Kaner, Data Scientist @ Perimeter X
Title: Bootstrap, Random Forest and all sorts of magic
Slides:
Pavel Levin, Booking.com - Where should I travel next? Modeling multi-destination trips with Recurrent Neural Networks.
Speaker: Pavel Levin, Senior Data Scientist @ Booking.com
Title: Where should I travel next? Modeling multi-destination trips with Recurrent Neural Networks.
Slides:
Ari Bornstien, Microsoft - Beyond Word Embeddings -----------------------------------------------
Speaker: Ari Bornstien, Senior Cloud Developer Advocate @ Microsoft
Title: Beyond Word Embeddings
Slides:
Speaker: Michal Shmueli-Scheuer, Researcher @ IBM Research
Title: Conversational bots for customer support
Slides:
Speaker: Nofar Betzalel, Data Scientist @ Paypal
Title: Semi-Supervised Learning – to extend our Tagging Coverage
Slides:
Speaker: Dr. Lev Faivishevsky, Researcher @ Intel Advanced Analytics
Title: Using Deep-Learning to Detect Video distortions
Slides:
Danny Pfeffermann, Central Bureau for Statistics - Can Big Data Really Replace Traditional Surveys for theProduction of Official Statistics
Speaker: Danny Pfeffermann, National Statistician of Israel @ Central Bureau for Statistics
Title: Can Big Data Really Replace Traditional Surveys for theProduction of Official Statistics
Slides:
Speaker: Avi Hendler-Bloom, Algorithms Developer @ MobilEye
Title: Overcoming the Electronic Traffic Sign Problem
Slides:
Speaker: Daniel Benzaquen, Data Scientist @ Lightricks
Title: AB testing at Scale
Slides:
Speaker: Gil Chamiel, Director of Algorithms and Data Science @ Taboola
Title: Deep And Shallow Learning in Recommendation Systems
Slides:
Oren Shamir, Innoviz Technologies - Neural networks for point clouds: adding the 3rd dimension ------------------------------------------------------------------------
Speaker: Oren Shamir, Head of CV Algorithm Development @ Innoviz Technologies
Title: Neural networks for point clouds: adding the 3rd dimension
Slides:
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent