Lightning Talks, • 2/12/23 Adi Watzman: Causal Machine Learning – What’s in it for Data Scientists? | PyData Tel Aviv 2022 Previous Rachel Shalom: GANs: The Case of Predictive Business Process | PyData Tel Aviv 2022 Next Hilla Deleon: Over- and Under-Estimation of Vaccine Effectiveness | PyData Tel Aviv 2022 You Might Also Like Aviv Zaken: Simple Data Processing Pipeline | PyData Tel Aviv 2022 Roy Kishony: Quibbler: Your Data - Interactive! | PyData Tel Aviv 2022 Aleksander Molak & Uri Itai: Flexibility General Average for ML| PyData Tel Aviv 2022 Avishai Barnoy: DeepCook: Code Your Way Through Everyday Chores | PyData Tel Aviv 2022 Nir Barazida: Notebook To Production | PyData Tel Aviv 2022
Lightning Talks, • 2/12/23 Adi Watzman: Causal Machine Learning – What’s in it for Data Scientists? | PyData Tel Aviv 2022 Previous Rachel Shalom: GANs: The Case of Predictive Business Process | PyData Tel Aviv 2022 Next Hilla Deleon: Over- and Under-Estimation of Vaccine Effectiveness | PyData Tel Aviv 2022 You Might Also Like Aviv Zaken: Simple Data Processing Pipeline | PyData Tel Aviv 2022 Roy Kishony: Quibbler: Your Data - Interactive! | PyData Tel Aviv 2022 Aleksander Molak & Uri Itai: Flexibility General Average for ML| PyData Tel Aviv 2022 Avishai Barnoy: DeepCook: Code Your Way Through Everyday Chores | PyData Tel Aviv 2022 Nir Barazida: Notebook To Production | PyData Tel Aviv 2022
