56 min listen
DTC's minis - From Data Engineering to MLOps - Sejal Vaidya
FromDataTalks.Club
ratings:
Length:
17 minutes
Released:
Jan 14, 2022
Format:
Podcast episode
Description
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)
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
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)
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
Released:
Jan 14, 2022
Format:
Podcast episode
Titles in the series (100)
Mentoring - Rahul Jain by DataTalks.Club