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

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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