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Unsupervised

Inbar Naor

Unsupervised

A monthly Technology podcast
Good podcast? Give it some love!
Unsupervised

Inbar Naor

Unsupervised

Episodes
Unsupervised

Inbar Naor

Unsupervised

A monthly Technology podcast
Good podcast? Give it some love!
Rate Podcast

Episodes of Unsupervised

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Kaggle is the world's largest data science community with powerful tools and resources to help you achieve your data science goals.Nir Malbin, a Snap research scientist at day and a Kaggle master at night shared with us some tips on how to sta
How to learn from noisy data? Can you use free text to generate labels in an unsupervised manner? Jonathan Laserson, Lead AI researcher is Zebra Medical, tells us how they built the world's largest data set of chest X-ray images (1M) and traine
The field of privacy in machine learning is becoming increasingly important. With legislation like GDPR, it is becoming necessary for us, data scientists, to be mindful about privacy concerns related to the applications we develop. In this epis
Daniel Soudry is an assistant professor and a Taub Fellow at the Department of Electrical Engineering at the Technion. His first work focsed on Neuroscience, attempting to understand how neurons work in the brain. He then continued to a post-do
AI and ML algorithms are becoming increasingly popular, being implemented in finance, health and law enforcement systems. Mistakes these algorithms can make can have tremendous impact on people’s lives, leading to many ethical and legal questio
Dafna Shahaf has so many cool research projects. In this episode we talked about a few of them - using metro maps to visualize information about events and storylines; an algorithm that judges jokes; a search engine that finds creative soluti
David Golan was on the track to becoming a university professor. Then something happened that made him changed route. He co-founded viz.ai - a company that helps doctors detect strokes quickly. We talked about How to use Deep Learning when you
Yair Mazor is the head of Data Science at windward. In this episode we talked about how to efficiently getting into new domain as a data scientist, about data science for maritime analytics and about different aspects in managing data science t
Ofra Amir did her PhD in computer science in Harvard, where she studied the interactions between humans and intelligent machines. In this episode we talk with Ofra about designing algorithms whose goal is to improve human performance in a given
Yo data scientists, Nimrod Priell has a very important message for you - Data Science is much more than just Machine Learning. It may sound trivial when you think about it, but yet it's very easy to forget these days. Nimrod, a Data Science tea
In this episode we talked with Sefi Cohen, head of Data Science squad in the IDF. He tells us about the different projects they're doing and how he started a Data Science team with very little knowledge of Machine Learning and Data Science tech
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 mac
On this episode we talked with Galit Bary Weisberg, a data scientist from Mobileye. Before Mobileye Galit was the first and only data scientist in a startup called Matific, which develops interactive games for teaching math. We talked about the
On the first episode we talked with Yoav Goldberg from Bar Ilan university about NLP, deep learning research, life in academia and that medium blog post that started a fire.Opening tone: Avishai Cohen - Etzion GeverMore resources on this epi
In this short episode we tell you a bit about this podcast and about ourselves.
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