Web: https://anchor.fm/datatalksclub/episodes/DTCs-minis---From-Data-Engineering-to-MLOps---Sejal-Vaidya-e1cv49e Audio: https://anchor.fm/s/41286f68/podcast/play/46157550/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2022-0-14%2F209c42de-1bd7-6ab2-de7a-6ca9747df283.mp3

Jan. 14, 2022, 6:13 p.m. | DataTalks.Club

DataTalks.Club anchor.fm

We don't have a new episode this week, but we have an amazing conversation with Sejal Vaidya from August




We talked about



  • Sejal's background

  • Why transitioning to ML engineering

  • Three phases of development of a project

  • Why data engineers should get involved in ML

  • Technologies

  • Tips for people who want to transition

  • Soft skills and understanding requirements

  • Helpful resources




Resources:



  • ML checklist (https://twolodzko.github.io/ml-checklist.html)

  • Machine Learning Bookcamp (https://mlbookcamp.com/)

  • Made with ML course (https://madewithml.com)

  • Full-stack deep learning (https://fullstackdeeplearning.com)

  • Newsletters: mlinproduction, huyenchip.com, jeremyjordan.me, mihaileric.com

  • Sejal's "Production ML" twitter list (https://twitter.com/i/lists/1212819218959351809)




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