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What are folks doing or planning to do with Machine Learning over the next few months?

Tom Brown (Past Member)
$organization

, , , , , , (et. al.)

What have you been experimenting with when it comes to Machine Learning (ML)?

Right now I'm working on building a prototype production environment for our first ML models. (This is in contrast to the development environment on my laptop.)  The first model for me will be making our attendance model production.  Looking at short-term (0-10 day), medium-term (1 month) and long-term(18 months) forecast of "walk-in" attendance.

The prototype production environment will be on a small Linux based system running Dataiku's DSS.  This is providing me a production infrastructure for the usual data science tools, Python, R notebooks, mostly scikit learn based models, some nice visual ETL tools and additional visualization capabilities.

My plans are then to work with members of the INFORM The Institute for Operations Research and the Management Sciences. (https://connect.informs.org/probonoanalytics/home) to fine-tune and validate modeling approach.  So, we can know how confident we can be in such a model.

I'm curious what you may be doing?  And are their anythings that analytic Coffee! members can do to help one another to move ML forward withing the Cultural Non-Profit Community?

--Tom

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  • $organization

    I pln on eventually having enough time to get into some Power BI.  With the new shift in my role I should be able to get that happening by EOY.  Sales forecasting is my main aim.

  • $organization in reply to Heath Wilder

    When it comes to Sales Forecasting how are you hoping that Power BI will help?

  • $organization in reply to Tom Brown (Past Member)

    They are separate thoughts actually. 

    1. I want to have a crack at Power BI (amongst other things)
    2. Sales analysis and prediction with a view to forecasting
      1. I want to have a look at relative sales velocities to see if I can identify certain milestones in the cycle. 

    I have patterns I want to challenge including Timing of onsale relative to internal (current show), external (local arts co's subs launch), and static (Xmas, school hols, EOFY) events.

    pretty standard stuff really

  • $organization in reply to Heath Wilder

     as always you are pushing into new ground.

    I thought that you might be trying to put both of those things together, and was wondering if you had found something new and awesome that Microsoft had added to Power BI to help with the challenge.  I've really liked Power BI since it came out as Power Query and Power Pivot in MS Excel.  However, It would not have been the tool that I would have personally grabbed for when trying to do something predictive.  I know that one can add R (in particular Microsoft's variant of R in Power BI.) And R can definitely be used for a variety of forecasting.  And Microsoft is clearly trying to keep Power BI relevant in the AI / ML space. Over the last year though I've not been able to keep up on all of those MS developments.  Here is a recent video I found on the subject.  The Key influencer part of the video might be relevant to your sales timing question.

      

    On the forecasting side, it sounds like you have an intuition that sale timing will make a difference to sales volume.  Do you have a specific hypothesis you want to test?  Have you thought of a method to test or evaluate the hypothesis?  I'd love to hear more about what you are trying to do when you are ready to share.  It's my hope that analytic Coffee becomes the place for folks in the Tessitura Community to test and share such ideas!  I'm really looking forward to hearing more.

    --Tom

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  • $organization in reply to Heath Wilder

     as always you are pushing into new ground.

    I thought that you might be trying to put both of those things together, and was wondering if you had found something new and awesome that Microsoft had added to Power BI to help with the challenge.  I've really liked Power BI since it came out as Power Query and Power Pivot in MS Excel.  However, It would not have been the tool that I would have personally grabbed for when trying to do something predictive.  I know that one can add R (in particular Microsoft's variant of R in Power BI.) And R can definitely be used for a variety of forecasting.  And Microsoft is clearly trying to keep Power BI relevant in the AI / ML space. Over the last year though I've not been able to keep up on all of those MS developments.  Here is a recent video I found on the subject.  The Key influencer part of the video might be relevant to your sales timing question.

      

    On the forecasting side, it sounds like you have an intuition that sale timing will make a difference to sales volume.  Do you have a specific hypothesis you want to test?  Have you thought of a method to test or evaluate the hypothesis?  I'd love to hear more about what you are trying to do when you are ready to share.  It's my hope that analytic Coffee becomes the place for folks in the Tessitura Community to test and share such ideas!  I'm really looking forward to hearing more.

    --Tom

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