DataTalks.Club

Becoming a Data Science Manager - Mariano Semelman

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We talked about:

  • Mariano’s background
  • Typical day of a manager
  • Becoming a manager
  • Preparing for the transition
  • Balancing projects and assumptions
  • Search and recommendations
  • Dealing with unfamiliar domains
  • Structuring projects
  • Connecting product and data science
  • Rules of Machine Learning
  • CRISP-DM and deployment
  • Giving feedback
  • Dealing with people leaving the team
  • Doing technical work as a manager
  • Dealing with bad hires
  • Keeping up with the industry


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