Productionizing Time-Series Workloads at Siemens Energy with Edgar Bahilo Rodriguez - #439

Productionizing Time-Series Workloads at Siemens Energy with Edgar Bahilo Rodriguez - #439

Today we close out our re:Invent series joined by Edgar Bahilo Rodriguez, Lead Data Scientist in the industrial applications division of Siemens Energy. Edgar spoke at this year's re:Invent conference about Productionizing R Workloads, and the resurrection of R for machine learning and productionalization. In our conversation with Edgar, we explore the fundamentals of building a strong machine learning infrastructure, and how they’re breaking down applications and using mixed technologies to build models. We also discuss their industrial applications, including wind, power production management, managing systems intent on decreasing the environmental impact of pre-existing installations, and their extensive use of time-series forecasting across these use cases. The complete show notes can be found at twimlai.com/go/439.

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Brendan Frey - Reprogramming the Human Genome with AI - TWiML Talk #12

Brendan Frey - Reprogramming the Human Genome with AI - TWiML Talk #12

My guest this week is Brendan Frey, Professor of Engineering and Medicine at the University of Toronto and Co-Founder and CEO of the startup Deep Genomics. Brendan and I met at the Re-Work Deep Learni...

24 Feb 20171h

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...

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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...

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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...

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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...

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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...

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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

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