Video Version: https://youtu.be/wxVGu8vKvG8
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\nIn this episode, Sanyam Bhutani interviews the authors of the book "Building ML Pipelines": Catherine Nelson and Hannes Hapke
\nCatherine is a data scientist at SAP concur labs. And Hannes is an ML Engineer in the same company.
\nThey talk about the journey into machine learning and the journey into this world of building machine learning pipelines, they dive into depth about the book, covering:
\n- Who's the book really for?
\n- What does it cover?
\n- What can you expect out of it?
\nLinks:
\nhttps://www.buildingmlpipelines.com
\nFollow:
\nCatherine Nelson:
\nhttps://twitter.com/drcatnelson
\nHannes Hapke:
\nhttps://twitter.com/hanneshapke
\nhanneshapke.github.io
\nSanyam Bhutani:
\nhttps://twitter.com/bhutanisanyam1
\nBlog: sanyambhutani.com
\nAbout:
\nhttps://sanyambhutani.com/tag/chaitimedatascience/
\nA show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.
\nYou can expect weekly episodes every available as Video, Podcast, and blogposts.
\nIntro track:
\nFlow by LiQWYD https://soundcloud.com/liqwyd