Platform and model design for responsible AI design and build resilient, private, fair, and transparent machine learning models

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Hauptverfasser: Kapoor, Amita (VerfasserIn), Chatterjee, Sharmistha (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Birmingham Packt Publishing 2023
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spellingShingle Kapoor, Amita
Chatterjee, Sharmistha
Platform and model design for responsible AI design and build resilient, private, fair, and transparent machine learning models
title Platform and model design for responsible AI design and build resilient, private, fair, and transparent machine learning models
title_auth Platform and model design for responsible AI design and build resilient, private, fair, and transparent machine learning models
title_exact_search Platform and model design for responsible AI design and build resilient, private, fair, and transparent machine learning models
title_exact_search_txtP Platform and model design for responsible AI design and build resilient, private, fair, and transparent machine learning models
title_full Platform and model design for responsible AI design and build resilient, private, fair, and transparent machine learning models Amita Kapoor, Sharmistha Chatterjee
title_fullStr Platform and model design for responsible AI design and build resilient, private, fair, and transparent machine learning models Amita Kapoor, Sharmistha Chatterjee
title_full_unstemmed Platform and model design for responsible AI design and build resilient, private, fair, and transparent machine learning models Amita Kapoor, Sharmistha Chatterjee
title_short Platform and model design for responsible AI
title_sort platform and model design for responsible ai design and build resilient private fair and transparent machine learning models
title_sub design and build resilient, private, fair, and transparent machine learning models
url https://portal.igpublish.com/iglibrary/search/PACKT0006598.html
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AT chatterjeesharmistha platformandmodeldesignforresponsibleaidesignandbuildresilientprivatefairandtransparentmachinelearningmodels