DataTalks.Club

New Roles and Key Skills to Monetize Machine Learning - Vin Vashishta

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We discussed monetization roles and the capabilities people need to move into those roles.

The key roles are ML Researcher, ML Architect, and ML Product Manager.


We talked about:

Vin's career journey

  • What does it mean to "monetize machine learning"
  • Important monetization metrics
  • Who should we have on the team to make a project successful
  • Machine Learning Researcher (applied and scientist) - background, responsibilities, and needed skills
  • Developing new categories 
  • The best recipe for a startup: angry users + data scientists
  • What research actually is
  • ML Product Manager - background, responsibilities, and needed skills
  • How product managers can actually manage all their responsibilities (and they have a lot of them!)
  • ML Architect - background, responsibilities, and needed skills
  • Path to becoming an architect 
  • How should we change education to make it more effective 
  • Important product metrics


    • And more! 


    Links:

    • https://twitter.com/v_vashishta​
    • https://linkedin.com/in/vineetvashishta​
    • https://databyvsquared.com/​



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