What You Will Learn

• Comprehensive understanding of machine learning and data governance, including fundamental principles, critical practices, and emerging challenges
• Navigating the complexities of managing data effectively within the context of machine learning projects
• Practical strategies and best practices for implementing effective data governance in machine learning projects
• Key aspects such as data quality, privacy, security, and ethical considerations, ensuring responsible and effective use of data
• Preparation 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