DataTalks.Club

DataTalks.Club Conference

  • 4 tracks, 4 Fridays, 4 speakers each day
  • It’s online and entirely free!
  • Time is in CET (UTC +1)
  • Can’t attend? Register anyways, we will send you the recordings.

Tracks

Machine Learning Use Cases (05 Feb 2021)

  • 14:00 CET – Phil Winder – Industrial Applications of Reinforcement Learning
    Show abstract
  • 15:00 CET – Himanshu Upreti – How to use AI in Consumer Food Product Innovation
    Show abstract
  • 16:00 CET – Mahmoud AbdelAziz – Machine Learning in Manufacturing
    Show abstract
  • 17:00 CET – Eugene Yan – Building an ML System for Southeast Asia’s Largest Hospital Group
    Show abstract

Product and Process (12 Feb 2021)

  • 14:00 CET – Elias Nema – Building Data-Intense Teams
    Show abstract
  • 15:00 CET – Susan Walsh – Dangers of Dirty Data
    Show abstract
  • 16:00 CET – Elena Samuylova – How Your ML Project Will Fail
    Show abstract
  • 17:00 CET – Dan Becker – Translating ML Predictions Into Better Real-World Results with Decision Optimization
    Show abstract

Career in Data (19 Feb 2021)

  • 12:00 CET – Danny Ma – The ABC’s of Data Science
    Show abstract
  • 13:30 CET – Admond Lee Kin Lim – Personal Branding
    Show abstract
  • 15:00 CET – Parul Pandey – Career Transitioning into Data Science
    Show abstract
  • 16:00 CET – Vin Vashishta – New Roles and Key Skills to Monetize Machine Learning
    Show abstract

Machine Learning in Production (26 Feb 2021)

  • 14:00 CET – Larysa Visengeriyeva – 10 Foundational Practices of Machine Learning Engineering
    Show abstract
  • 15:00 CET – Mikio Braun – Putting Data Science in Production
    Show abstract
  • 16:00 CET – Sara Robinson – Machine Learning Design Patterns
    Show abstract
  • 17:00 CET – Elle O'Brien – Continuous Integration for Machine Learning
    Show abstract

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