Carlos Guestrin - Explaining the Predictions of Machine Learning Models - TWiML Talk #7

Carlos Guestrin - Explaining the Predictions of Machine Learning Models - TWiML Talk #7

My guest this time is Carlos Guestrin, the Amazon professor of Machine Learning at the University of Washington. Carlos and I recorded this podcast at a conference, shortly after Apple's acquisition of his company Turi. Our focus for this podcast is the explainability of machine learning algorithms. In particular, we discuss some interesting new research published by his team at U of W. The notes for this show can be found at twimlai.com/talk/7.

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Geometric Statistics in Machine Learning w/ geomstats with Nina Miolane - TWiML Talk #196

Geometric Statistics in Machine Learning w/ geomstats with Nina Miolane - TWiML Talk #196

In this episode we’re joined by Nina Miolane, researcher and lecturer at Stanford University. Nina and I spoke about her work in the field of geometric statistics in ML, specifically the application o...

1 Nov 201843min

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...

29 Okt 20181h 1min

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

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

In this episode, we’re joined by Garrett Hoffman, Director of Data Science at Stocktwits. Stocktwits is a social network for the investing community which has its roots in the use of the $cashtag on T...

25 Okt 201850min

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

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

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...

16 Okt 20181h 1min

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...

12 Okt 201841min

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...

10 Okt 20181h 3min

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