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 Tal Erez Hauer: Unleash Big Data Clustering (HE) | PyData Tel Aviv 2022 Tsvi Lev & Or Katz: Synthetic Data in Vision AI: Theory and Practice (HE) | PyData Tel Aviv 2022 Aviv Zaken: Simple Data Processing Pipeline | PyData Tel Aviv 2022 Racheli Abo: Data Sampling Using Data Maps (HE) | PyData Tel Aviv 2022 Aleksander Molak & Uri Itai: Flexibility General Average for ML| 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 Tal Erez Hauer: Unleash Big Data Clustering (HE) | PyData Tel Aviv 2022 Tsvi Lev & Or Katz: Synthetic Data in Vision AI: Theory and Practice (HE) | PyData Tel Aviv 2022 Aviv Zaken: Simple Data Processing Pipeline | PyData Tel Aviv 2022 Racheli Abo: Data Sampling Using Data Maps (HE) | PyData Tel Aviv 2022 Aleksander Molak & Uri Itai: Flexibility General Average for ML| PyData Tel Aviv 2022