PyData Tel Aviv Meetup: Learning Large Scale Models for Content Recommendation - Sonya Liberman
PyData Tel Aviv Meetup: Making N Populations Work in 1 Model Architecture - Marina Gandlin
PyData Tel Aviv Meetup: Offline Metrics for Recommendation - Benjamin Kempinski
PyData Tel Aviv Meetup: Analyzing Machine Generated Mail - Irena Grabovitch-Zuyev
PyData Tel Aviv Meetup: Deep Learning for Named Entity Recognition - Kfir Bar
PyData Tel Aviv Meetup: Shaky Ground (truth): Learning with Label Noise - Yaniv Katz
AI at Scale in Rakuten’s Recommendation Systems with Phuc Le
Sonya Liberman, Big Data Science Meetup 2018, Large Scale ML Models for Content Recommendation
Davit Abgaryan - Recommendation Systems in Market Research | PyData Yerevan 2022
Self-supervised Learning for Large-scale Item Recommendations
Using Bob's clicks to Recommend Content to Alice - Collaborative Models @ Scale
Large-scale Comb-K Recommendation
Building large-scale Recommender System by Vivek Murugesan
Ain't No Sunshine
Y-DATA#3 - Andrey Zimovnov: Large-scale recommender system for algorithm-driven content feed
Valerie - Outbrain Event
Jointly Optimize Capacity, Latency and Engagement in Large-scale Recommendation Systems
Sirin Odrowski - Introduction to Search
Y-DATA#3 - Inbar Naor: Lessons from building deep learning recommendation systems
Hands on - Build a Recommender system: Camille Couturier | PyData Amsterdam 2019
