Advancing Machine Learning at Capital One with Dave Castillo - #328

Advancing Machine Learning at Capital One with Dave Castillo - #328

Today we’re joined by Dave Castillo, Managing VP for ML at Capital One and head of their Center for Machine Learning. In our conversation, we explore Capital One’s transition from “lab-based” ML to enterprise-wide adoption and support of ML, surprising ML use cases, their current platform ecosystem, their design vision in building this into a larger, all-encompassing platform, pain points in building this platform, and much more.

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Hilary Mason - Building AI Products - TWiML Talk #11

Hilary Mason - Building AI Products - TWiML Talk #11

My guest this time is Hilary Mason. Hilary was one of the first “famous” data scientists. I remember hearing her speak back in 2011 at the Strange Loop conference in St. Louis. At the time she was Chi...

25 Jan 201717min

Francisco Webber - Statistics vs Semantics for Natural Language Processing - TWiML Talk #10

Francisco Webber - Statistics vs Semantics for Natural Language Processing - TWiML Talk #10

My guest this time is Francisco Webber, founder and General Manager of artificial intelligence startup Cortical.io. Francisco presented at the O’Reilly AI conference on an approach to natural language...

3 Dec 201649min

Pascale Fung - Emotional AI: Teaching Computers Empathy - TWiML Talk #9

Pascale Fung - Emotional AI: Teaching Computers Empathy - TWiML Talk #9

My guest this time is Pascale Fung, professor of electrical & computer engineering at Hong Kong University of Science and Technology. Pascale delivered a presentation at the recent O'Reilly AI confere...

8 Nov 201634min

Diogo Almeida - Deep Learning: Modular in Theory, Inflexible in Practice - TWiML Talk #8

Diogo Almeida - Deep Learning: Modular in Theory, Inflexible in Practice - TWiML Talk #8

My guest this time is Diogo Almeida, senior data scientist at healthcare startup Enlitic. Diogo and I met at the O'Reilly AI conference, where he delivered a great presentation on in-the-trenches deep...

23 Okt 201646min

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 o...

9 Okt 201631min

Angie Hugeback - Generating Training Data for Your ML Models - TWiML Talk #6

Angie Hugeback - Generating Training Data for Your ML Models - TWiML Talk #6

My guest this time is Angie Hugeback, who is principal data scientist at Spare5. Spare5 helps customers generate the high-quality labeled training datasets that are so crucial to developing accurate m...

29 Sep 20161h 1min

Joshua Bloom - Machine Learning for the Stars & Productizing AI - TWiML Talk #5

Joshua Bloom - Machine Learning for the Stars & Productizing AI - TWiML Talk #5

My guest this time is Joshua Bloom. Josh is professor of astronomy at the University of California, Berkeley and co-founder and Chief Technology Officer of machine learning startup Wise.io. In this wi...

22 Sep 20161h 28min

Charles Isbell - Interactive AI, Plus Improving ML Education - TWiML Talk #4

Charles Isbell - Interactive AI, Plus Improving ML Education - TWiML Talk #4

My guest this time is Charles Isbell, Jr., Professor and Senior Associate Dean in the College of Computing at Georgia Institute of Technology. Charles and I go back a bit… in fact he’s the first AI re...

10 Sep 20161h 4min

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