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Report Dataiku Machine Learning for High-Risk Applications

Machine Learning for High-Risk Applications

Techniques for Responsible AI

Understanding machine learning (ML) systems is a critical task for data scientists and non-technical profiles alike as organizations aim to integrate AI applications on an enterprise-wide level. In this ebook, we take a look at the relationship between these profiles and practices to identify cutting-edge and responsible strategies for managing high-impact AI systems.

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  • Contemporary Model Governance 
  • Debugging Machine Learning Systems for Saftey and Performance 
  • Data Privacy and Security for Machine Learning

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