DataTalks.Club

DTC's minis - From Data Engineering to MLOps - Sejal Vaidya

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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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