• Start Time:
  • End Time:
  • Day:
    Day 1


As my experience ranges from consulting through in-house to freelancing in ML / AI, I will give a multi-level perspective on questions and trade-offs a head / director of data science encounters in every-day work, including:

  • vendor selection vs in-house development
  • model selection: top-down vs bottom-up approach
  • paths to maximizing value: focus on algorithms vs feature engineering,
  • right moment to stop development
  • balancing quality and business-driven output.

Associated Speakers:

Adrian Foltyn

Former Head/Director of Data Science


Associated Talks:

03:20PM - Day 1

View Machine Learning and AI: Go’s and No-Go’s

View Full Info