Uri Shalit did his Ph.d at the Hebrew University and a post doc in NYU. We talked about his research in machine learning for Health Care and what are the unique challenges in this field, about Causal Inference and how it is relevant to many machine learning problems, and about a cool study he did during his Ph.d about Motif identification in music.

ML in Health Care, Causal Inference and Motifs in Music, with Uri Shalit

Unsupervised is a podcast about Data Science in Israel. At each episode we interview an industry professional or a researcher from academia and discuss different aspects and problems in data science. We want to give a peek to what’s going on with data science across the Israeli industry and also to talk about different algorithms, tools, papers, methods and pretty much everything that’s interesting and related to Data Science and Machine Learning.

The podcast is aimed to data science professionals and researchers, as well as for those who work and collaborate with data science teams and beginners in the field.

All Episodes are recorded in Hebrew.
We want to thank Samsung Next for hosting us.

Technology

Unsupervised is a podcast about Data Science in Israel. At each episode we interview an industry professional or a researcher from academia and discuss different aspects and problems in data science. We want to give a peek to what’s going on with data science across the Israeli industry and also to talk about different algorithms, tools, papers, methods and pretty much everything that’s interesting and related to Data Science and Machine Learning. The podcast is aimed to data science professionals and researchers, as well as for those who work and collaborate with data science teams and beginners in the field. All Episodes are recorded in Hebrew. We want to thank Samsung Next for hosting us.

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ML in Health Care, Causal Inference and Motifs in Music, with Uri Shalit

ML in Health Care, Causal Inference and Motifs in Music, with Uri Shalit