Date

Attendees

Goals

  • Discussion about materials collected so far
  • Decide criteria to comment upon  - Sharing some potential options for starting the conversation  - beginner vs intermediate, more theory vs more hands-on, programming language/frameworks used, 

References:

Discussion items

TimeItemWhoNotes
15 mins

Discussion about materials collected so far

All
  • Minu
    • Started with writing a draft/structure for the section
  • Visu
    • CuDF and CuML  - using colab
      • saw improvements in runtime (in model training and reading csv files) using cuDF.
      • will compare sklearn GPU vs. cuDF 
  • Todd
    • Brought the question of ML model deployment-related issues.
  •  Sandeep
    • Started updating the draft report document - included some contents that Minu had shared.
30 mins

Decide criteria to comment upon

 All

How to evaluate/comment on the collected documents?

Are there criteria that are required vs optional?

The team discussed these criteria and grouped them under required vs optional

  •  Required
    • Maintained
    • Reliable
    • Basic theory/description is present
    • Beginner and intermediate skill levels
  • Optional
    • Hands-on (higher priority among the optional criteria)
    • ML framework (no specific preference between different frameworks)
    • Good use cases
    • Advanced skill 
    • Advanced theory
15 minsML Ops Round TableKastan
  • Showed the outline of the ML Ops round table topics and the group discussed areas of improvement, questions, etc.

Action items