在線或現場由講師指導的實時 MLflow 培訓課程通過交互式實踐演示如何使用 MLflow 簡化和管理機器學習生命週期。 MLflow 培訓可作為“在線實時培訓”或“現場實時培訓”。在線實時培訓(又名“遠程實時培訓”)是通過交互式遠程桌面進行的。現場現場培訓可以在 台灣 中的客戶場所本地進行,也可以在 台灣 中的 NobleProg 公司培訓中心進行。 NobleProg——您當地的培訓提供商

Machine Translated


This instructor-led, live training in 台灣 (online or onsite) is aimed at data scientists who wish to go beyond building ML models and optimize the ML model creation, tracking, and deployment process. By the end of this training, participants will be able to:
  • Install and configure MLflow and related ML libraries and frameworks.
  • Appreciate the importance of trackability, reproducability and deployability of an ML model
  • Deploy ML models to different public clouds, platforms, or on-premise servers.
  • Scale the ML deployment process to accommodate multiple users collaborating on a project.
  • Set up a central registry to experiment with, reproduce, and deploy ML models.

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