Computer Algebra

  • Comments posted to this topic are about the item Computer Algebra

  • Heh,... thanks for the feedback, Steve.  It was a story that explained that if you "know the gazintas, anything is possible"... even in SQL.  And, it was actually really simple to do.

    --Jeff Moden


    RBAR is pronounced "ree-bar" and is a "Modenism" for Row-By-Agonizing-Row.
    First step towards the paradigm shift of writing Set Based code:
    ________Stop thinking about what you want to do to a ROW... think, instead, of what you want to do to a COLUMN.

    Change is inevitable... Change for the better is not.


    Helpful Links:
    How to post code problems
    How to Post Performance Problems
    Create a Tally Function (fnTally)

  • When I started working for a business to business direct mail company and later an advertising agency I found the use of statistics fascinating.  If a company wants to be truly data driven then it this is an area that cannot be avoided.

    I did experiment with using SQLCLR user defined aggregates to perform linear regression.  While it worked mechanically it forced a sort which sapped performance.

    One of my first articles for SQL Server Central back in 2004 was on SQL Server in-built statistical functions, how they worked and what their implications were.  For my current company I paired with a data scientist and rewrote them to demonstrate much the same thing with SnowflakeDB and it appears that statistics is a perennial topic of interest.

    There are some very useful stats algorithms that are well suited to set based operations.  As well as similarity algorithms to enable you to cluster customers there are algorithms to measure the difference between clusters.

    I never expected marketing to be so maths driven.  In hindsight it is inevitable that it should be.

     

  • My Bachelor's degree is in Mathematics, although I only took one course in statistics. It was fun, but I was more interested in linear algebra and differential equations. I'd love to have seen that talk Jeff Moden did on linear regression.

    Kindest Regards, Rod Connect with me on LinkedIn.

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