Menu
Log in


CANBERRA BRANCH MEETING -- THE PRACTITIONER’S GUIDE TO MACHINE LEARNING QUALITY IN THE ABS

  • 15 Aug 2023 10:18 PM
    Message # 13240992
    Francis Hui (Administrator)

    SSA Canberra invites you to its August branch meeting of 2023, which is joint with the ABS, and will feature Edwin Lu and Nelson Chua from ABS present on the topic of "The practitioner’s guide to machine learning quality in the ABS"

    Time: Start at 5:30pm and finish by 6:45pm Canberra time.

    Venue: Hybrid meeting, which you can either attend at the Australian Bureau of Statistics (ABS) Knibbs theatre, or attend via zoom. For in-person attendance, please RSVP by 5pm Monday 28 August by entering your details on the SSA Canberra meeting and dinner attendance sheet, or contacting warren.muller@csiro.au.

    For in-person attendance, ABS staff will be on site to assist with accessing facilities if needed.

    Dinner: After the talk we will be holding a dinner at 7.00pm at Punjabi Junction, 57 Benjamin Way, Belconnen ACT (https://www.punjabijunction.com.au).

    If you are interested in attending the dinner, please let me know by 5pm Monday 28 August by entering your details at SSA Canberra meeting and dinner attendance sheet or contacting me (warren.muller@csiro.au; 0407 916 868). Please regard this as a firm commitment, not just an intention. For withdrawals after the deadline, please remove your name from the sheet and phone or text me (0407 916 868).


    NOTE: We are offering discounts to SSA early career and student members who attend dinner! For this meeting, dinners will be a fixed charge of $10 for student members and $20 for early career members. 

     


    Talk details


    Speaker: Edwin Lu, ABS and Nelson Chua, ABS and ANU


    Topic: The practitioner’s guide to machine learning quality in the ABS


    AbstractIn recent years, the ABS has increased its use of machine learning to assist with the production of official statistics. To support this increased uptake, we have devised practical recommendations to ensure the quality of machine learning outputs, promote consistency in the use of machine learning, and help build machine learning capability in the ABS. In our presentation, we will outline some aspects of machine learning quality that are of general interest. We will also highlight some technical insights drawn from recent research findings in the literature, covering topics such as distribution-free prediction intervals, how to select performance metrics for classifiers, and some model-agnostic interpretability methods. Feedback on our findings and recommendations is very welcome.

     

    Biography

    Edwin Lu is an Assistant Director in the ABS Methodology Futures section. His background is in Actuarial Studies, Mathematics, and Statistics.

    Nelson Chua is a part-time ABS methodologist in the Methodology Futures section, full-time statistics PhD student at the ANU, and first-time Assistant Secretary for the SSA Canberra Council.


    ------------------------------ 

    Topic: Joint SSA Canberra + ABS Meeting

    Join Zoom Meeting
    https://anu.zoom.us/j/84885952923?pwd=NjVxNnVQT3l0azhNR3AxSkF4WklhUT09

    Meeting ID: 848 8595 2923
    Password: 662276
    One tap mobile
    +61731853730,,84885952923#,,,,0#,,662276# Australia
    +61861193900,,84885952923#,,,,0#,,662276# Australia

    Dial by your location
            +61 7 3185 3730 Australia
            +61 8 6119 3900 Australia
            +61 8 7150 1149 Australia
            +61 2 8015 6011 Australia
            +61 3 7018 2005 Australia
    Meeting ID: 848 8595 2923
    Password: 662276
    Find your local number: https://anu.zoom.us/u/kRmcByz81

    Or an H.323/SIP room system:
        Dial: +61262227588 (AUCX)
        or SIP:84885952923@global.zoomcrc.com
        Meeting ID: 84885952923
        H323/SIP Password: 662276


    Join by Skype for Business
    https://anu.zoom.us/skype/84885952923

    ------------------------------ 


Powered by Wild Apricot Membership Software