PyData Tel Aviv Meetup: Offline Metrics for Recommendation - Benjamin Kempinski
PyData Tel Aviv Meetup: Making N Populations Work in 1 Model Architecture - Marina Gandlin
PyData Tel Aviv Meetup: Intro to Data science workshop - Ido Zehori and Ishay Telavivi
Avishai Barnoy: DeepCook: Code Your Way Through Everyday Chores | PyData Tel Aviv 2022
Dina Bavli: Life, Death, and Shopping (HE) | PyData Tel Aviv 2022
Ran Dan - Data Scientist at ArgmaxML - PyData Tel-Aviv Oct 2021
Reaching the Top – Can We Train ML Models Which Are Both Accurate and Fair? - Shir Meir Lador
BIAS@ECIR2021 - New Metrics for ‘Offline’ Evaluation of Content-based TV Recommendation Systems
Manuel Garrido Peña - A primer on recommendation systems.
Racheli Abo: Data Sampling Using Data Maps (HE) | PyData Tel Aviv 2022
Tal Erez Hauer: Unleash Big Data Clustering (HE) | PyData Tel Aviv 2022
Yoel & Shuki: Breaking the Privacy-Utility Tradeoff with Deming Regression (HE)|PyData Tel Aviv 2022
The Secret Sauce of Data Science Management - Shir Meir Lador / WiDS Israel
WiDS TLV 2020 - Shir Meir Lador - When Simple Is Better - Opening Words
Tsvi Lev & Or Katz: Synthetic Data in Vision AI: Theory and Practice (HE) | PyData Tel Aviv 2022
How goodness metrics lead to undesired recommendations
Shir Chorev: Best Practices for Validating Your ML Model & Data Before Deployment
Chen Amiraz: How a Thousand Little Failures Can Turn Into Success
Leadjetty Tutorial | How to Create a Content Recommendation System
Cheuk Ting Ho: I Hate writing Tests, That's Why I Use Hypothesis | PyData Tel Aviv 2022
