Say Goodbye to Messy Data Science Notebooks with MLFlow Recipes (Pipelines)!

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  • Опубликовано: 21 окт 2024

Комментарии • 9

  • @gopinathrajee
    @gopinathrajee Год назад +1

    Very interesting session on MLFlow Recipes. The git has been better organized since this video though for those watching this video late.

  • @Balajinicky
    @Balajinicky 7 месяцев назад

    Can you make a video explaning mlflow recipes use in the Deep learning project and its preformance?

  • @firasjolha1282
    @firasjolha1282 3 месяца назад

    I think it's a redundancy, especially if you have some established processes to DataOps

  • @jevigudaganavar4258
    @jevigudaganavar4258 Год назад

    Can you please help with the classification template?

  • @torito_misiu
    @torito_misiu Год назад

    Thank you

  • @sivasankarikrishnamoorthy6245
    @sivasankarikrishnamoorthy6245 Год назад +2

    kindly make dbx databricks lab

    • @MG_cafe
      @MG_cafe  Год назад +1

      Great idea, thanks!

  • @shanky1897
    @shanky1897 Год назад +2

    Can you please create video which combines ml-flow recipes with your databricks mlops + github actions video (ruclips.net/video/f2XQMFod8kg/видео.html). That will showcase how can we standardized complete development and deployment process together.