Snowflake ML Powered Functions: Forecasting, Anomaly Detection, Contribution Explorer

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  • Опубліковано 6 жов 2024
  • Snowflake has released a set of ML-Powered Functions that help analysts and busy decision makers harness the power of ML without the chore of going through the full ML lifecycle. Snowflake Product Manager Dinesh Kulkarni introduces forecasting, anomaly detection, and contribution explorer ,and walks you through demos that you can try on your own as well.
    Check out the code at: github.com/Sno...
  • Наука та технологія

КОМЕНТАРІ • 6

  • @GregDownsC
    @GregDownsC 10 днів тому

    Please add "Phrase Detection" similar to the AI function in Power BI

  • @iravashisht3527
    @iravashisht3527 8 місяців тому

    Can we have multiple target columns?

  • @marketerlavluu
    @marketerlavluu Рік тому +2

    ❤❤❤❤

  • @rakesh7464
    @rakesh7464 Рік тому

    Is the raw code available anywhere for use?

    • @snowflakedevelopers
      @snowflakedevelopers  Рік тому

      Yes, please see: github.com/Snowflake-Labs/sf-samples/blob/main/samples/ML%20Powered%20Functions/June%202023%20MLPF%20Demos.sql

    • @rakesh7464
      @rakesh7464 Рік тому

      @@snowflakedevelopers thanks!! Loved the video. Great examples!