Theory and Practice of Quality Assurance for Machine Learning Systems

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This book is a self-contained introduction to engineering and testing machine learning (ML) systems. It systematically discusses and teaches the art of crafting and developing software systems that include and surround machine learning models. Crafting ML based systems that are business-grade is highly challenging, as it requires statistical control throughout the complete system development life ...

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This book is a self-contained introduction to engineering and testing machine learning (ML) systems. It systematically discusses and teaches the art of crafting and developing software systems that include and surround machine learning models. Crafting ML based systems that are business-grade is highly challenging, as it requires statistical control throughout the complete system development life ...

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  • Formats: pdf
  • ISBN: 9783031700088
  • Publication Date: 26 Oct 2024
  • Publisher: Springer Nature Switzerland
  • Product language: English
  • Drm Setting: DRM