Machine Learning for Equitable Healthcare Outcomes with Irene Chen - #479

Machine Learning for Equitable Healthcare Outcomes with Irene Chen - #479

Today we’re joined by Irene Chen, a Ph.D. student at MIT. Irene’s research is focused on developing new machine learning methods specifically for healthcare, through the lens of questions of equity and inclusion. In our conversation, we explore some of the various projects that Irene has worked on, including an early detection program for intimate partner violence. We also discuss how she thinks about the long term implications of predictions in the healthcare domain, how she’s learned to communicate across the interface between the ML researcher and clinician, probabilistic approaches to machine learning for healthcare, and finally, key takeaways for those of you interested in this area of research. The complete show notes for this episode can be found at https://twimlai.com/go/479.

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Milestones in Neural Natural Language Processing with Sebastian Ruder - TWiML Talk #195

Milestones in Neural Natural Language Processing with Sebastian Ruder - TWiML Talk #195

In this episode, we’re joined by Sebastian Ruder, PhD student studying NLP at National University of Ireland and Research Scientist at text analysis startup Aylien. We discuss recent milestones in neu...

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Natural Language Processing at StockTwits with Garrett Hoffman - TWiML Talk #194

Natural Language Processing at StockTwits with Garrett Hoffman - TWiML Talk #194

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Advanced Reinforcement Learning & Data Science for Social Impact with Vukosi Marivate - TWiML Talk #193

Advanced Reinforcement Learning & Data Science for Social Impact with Vukosi Marivate - TWiML Talk #193

In the final episode of our Deep Learning Indaba series, we speak with Vukosi Marivate, Chair of Data Science at the University of Pretoria and a co-organizer of the Indaba. My conversation with Vuko...

23 Okt 201846min

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AI Ethics, Strategic Decisioning and Game Theory with Osonde Osoba - TWiML Talk #192

In this episode of our Deep Learning Indaba Series, we’re joined by Osonde Osoba, Engineer at RAND Corporation. Osonde and I spoke on the heels of the Indaba, where he presented on AI Ethics and Poli...

18 Okt 201847min

Acoustic Word Embeddings for Low Resource Speech Processing with Herman Kamper - TWiML Talk #191

Acoustic Word Embeddings for Low Resource Speech Processing with Herman Kamper - TWiML Talk #191

In this episode of our Deep Learning Indaba Series, we’re joined by Herman Kamper, lecturer at Stellenbosch University in SA and a co-organizer of the Indaba. We discuss his work on limited- and zero...

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Learning Representations for Visual Search with Naila Murray - TWiML Talk #190

Learning Representations for Visual Search with Naila Murray - TWiML Talk #190

In this episode of our Deep Learning Indaba series, we’re joined by Naila Murray, Senior Research Scientist and Group Lead in the computer vision group at Naver Labs Europe. Naila presented at the In...

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Evaluating Model Explainability Methods with Sara Hooker - TWiML Talk #189

Evaluating Model Explainability Methods with Sara Hooker - TWiML Talk #189

In this, the first episode of the Deep Learning Indaba series, we’re joined by Sara Hooker, AI Resident at Google Brain. I spoke with Sara in the run-up to the Indaba about her work on interpretabilit...

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Graph Analytic Systems with Zachary Hanif - TWiML Talk #188

In this, the final episode of our Strata Data Conference series, we’re joined by Zachary Hanif, Director of Machine Learning at Capital One’s Center for Machine Learning. We start our discussion wit...

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