E-Books →Introduction to Data Governance for Machine Learning Systems Fundamental Principles, Critical Practices, and Future Trends

The book begins by covering fundamental principles and practices of underlying ML applications and data governance before diving into the unique challenges and opportunities at play when adapting data governance theory and practice to ML projects, including establishing governance frameworks, ensuring data quality and interpretability, preprocessing, and the ethical implications of ML algorithms and techniques, from mitigating bias in AI systems to the importance of transparency in models.
Monitoring and maintaining ML systems performance is also covered in detail, along with regulatory compliance and risk management considerations. Moreover, the book explores strategies for fostering a data-driven culture within organizations and offers guidance on change management to ensure successful adoption of data governance initiatives. Looking ahead, the book examines future trends and emerging challenges in ML data governance, such as Explainable AI (XAI) and the increasing complexity of data.
What You Will LearnComprehensive understanding of machine learning and data governance, including fundamental principles, critical practices, and emerging challengesNavigating the complexities of managing data effectively within the context of machine learning projectsPractical strategies and best practices for implementing effective data governance in machine learning projectsKey aspects such as data quality, privacy, security, and ethical considerations, ensuring responsible and effective use of dataPreparation for the evolving landscape of ML data governance with a focus on future trends and emerging challenges in the rapidly evolving field of AI and machine learning
Who This Book Is For
Data professionals, including data scientists, data engineers, AI developers, or data governance specialists, as well as managers or decision makers looking to implement or improve data governance practices for machine learning projects