DataTalks.Club

Navigating Career Changes in Machine Learning - Chris Szafranek

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We talked about

  • Chris’s background
  • Switching careers multiple times
  • Freedom at companies
  • Chris’s role as an internal consultant
  • Chris’s sabbatical
  • ChatGPT
  • How being a generalist helped Chris in his career
  • The cons of being a generalist and the importance of T-shaped expertise
  • The importance of learning things you’re interested in
  • Tips to enjoy learning new things
  • Recruiting generalists
  • The job market for generalists vs for specialists
  • Narrowing down your interests
  • Chris’s book recommendations


    • Links:

    • Lex Fridman: science, philosophy, media, AI (especially earlier episodes): https://www.youtube.com/lexfridman
    • Andrej Karpathy, former Senior Director of AI at Tesla, who's now focused on teaching and sharing his knowledge: https://www.youtube.com/@AndrejKarpathy
    • Beautifully done videos on engineering of things in the real world: https://www.youtube.com/@RealEngineering
    • Chris' website: https://szafranek.net/
    • Zalando Tech Radar: https://opensource.zalando.com/tech-radar/
    • Modal Labs, new way of deploying code to the cloud, also useful for testing ML code on GPUs: https://modal.com
    • Excellent Twitter account to follow to learn more about prompt engineering for ChatGPT: https://twitter.com/goodside
    • Image prompts for Midjourney: https://twitter.com/GuyP
    • Machine Learning Workflows in Production - Krzysztof Szafanek: https://www.youtube.com/watch?v=CO4Gqd95j6k
    • From Data Science to DataOps: https://datatalks.club/podcast/s11e03-from-data-science-to-dataops.html


      • Free data engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp

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