World Model · podcast knowledge graph

Data Science on AWS with Chris Fregly and Antje Barth - #490

2021-06-07 · 40 min · episode 490 · 16 entities

Asserted relationships

Entities found in this episode

companys 5

  • mentioned TWIML company
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    Feed author/publisher: TWIML
  • mentioned Technology company
    0.50
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    Feed category: Technology
  • discusses Technology company
    0.40
    evidence rules-v4
    Feed category: Technology
  • hosted by TWIML company
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    Feed author/publisher: TWIML
  • mentioned AWS company
    0.35
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    AWS

concepts 5

  • mentioned Science concept
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    Feed category: Science
  • mentioned Tech News concept
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    Feed category: Tech News
  • discusses Science concept
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    evidence rules-v4
    Feed category: Science
  • discusses News concept
    0.40
    evidence rules-v4
    Feed category: News
  • discusses Tech News concept
    0.40
    evidence rules-v4
    Feed category: Tech News

persons 4

  • mentioned Chris Fregly and Antje Barth person
    0.72
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    Data Science on AWS with Chris Fregly and Antje Barth - #490
  • mentioned Sam Charrington person
    0.70
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    Feed author/publisher: Sam Charrington
  • mentioned Data Science person
    0.66
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    Data Science on AWS with Chris Fregly and Antje Barth - #490
  • hosted by Sam Charrington person
    0.55
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    Feed author/publisher: Sam Charrington

podcasts 2

Episode description as stored
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.  In our conversation with Chris and Antje, we explore their roles as community builders prior to, and since, joining AWS, as well as their recently released book Data Science on AWS. In the book, Chris and Antje demonstrate how to reduce cost and improve performance while successfully building and deploying data science projects.  We also discuss the release of their new Practical Data Science Specialization on Coursera, managing the complexity that comes with building real-world projects, and some of their favorite sessions from the recent ML Summit.