Introduction to Data Governance for Machine Learning Systems
portes grátis
Introduction to Data Governance for Machine Learning Systems
Fundamental Principles, Critical Practices, and Future Trends
Nandan Prasad, Aditya
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
12/2024
950
Mole
9798868810220
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Chapter 1: Introduction to Machine Learning Data Governance.- Chapter 2: Establishing a Data Governance Framework.- Chapter 3: Data Quality and Preprocessing.- Chapter .- 4: Data Privacy and Security Considerations.- Chapter 5: Ethical Implications and Bias Mitigation.- Chapter 6: Model Transparency and Interpretability.- Chapter 7: Monitoring and Maintaining Machine Learning System.- Chapter 8: Regulatory Compliance and Risk Management.- Chapter 9: Organizational Culture and Change Management.- Chapter 10: Future Trends and Emerging Challenges.
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Machine Learning;Data Goverance;AI;Data Quality;Data Privacy;AI Ethics;ML model transparency;Bias Mitigation;AI interetabty
Chapter 1: Introduction to Machine Learning Data Governance.- Chapter 2: Establishing a Data Governance Framework.- Chapter 3: Data Quality and Preprocessing.- Chapter .- 4: Data Privacy and Security Considerations.- Chapter 5: Ethical Implications and Bias Mitigation.- Chapter 6: Model Transparency and Interpretability.- Chapter 7: Monitoring and Maintaining Machine Learning System.- Chapter 8: Regulatory Compliance and Risk Management.- Chapter 9: Organizational Culture and Change Management.- Chapter 10: Future Trends and Emerging Challenges.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
