Posts Tagged :

amazon web services

TWIML Presents: AWS Machine Learning Summit
800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Data Science on AWS with Chris Fregly and Antje Barth
800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we continue our coverage of the AWS ML Summit joined by Chris Fregly, a principal developer advocate at AWS, and Antje Barth, a senior developer advocate at AWS. ……

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Applied AI Research at AWS with Alex Smola
800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we’re joined by Alex Smola, Vice President and Distinguished Scientist at AWS AI. … Read the rest

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Productionizing Time-Series Workloads at Siemens Energy with Edgar Bahilo Rodriguez
800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we close out our re:Invent series joined by Edgar Bahilo Rodriguez, Lead Data Scientist in the industrial applications division of Siemens Energy. … Read the rest

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Metaflow, a Human-Centric Framework for Data Science with Ville Tuulos
800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we kick off our re:Invent 2019 series with Ville Tuulos, Machine Learning Infrastructure Manager at Netflix. … Read the rest

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Natural Language Understanding for Amazon Alexa with Zornitsa Kozareva
800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Our guest this week is Zornitsa Kozareva, Manager of Machine Learning with Amazon Web Services Deep Learning, where she is leading a group focused on natural language processing and dialogue systems for products like Amazon Alexa and Amazon Lex, the latter of which we discuss in the podcast. We also spend time talking through the architecture of modern Natural Language Understanding systems, including the role of deep learning, and some of the various ways folks are working to overcome the challenges in this field, such as understanding human intent. read more