Who this book is for
This book is for the following people:
- Beginners and students of data science with a foundational knowledge of machine learning and the Python programming language.
- Data professionals with an increasingly critical responsibility to explain how the AI systems they develop and maintain work, and how to improve them.
- Machine learning engineers and data scientists who want to expand their skillset to include the latest interpretation methods and bias mitigation techniques.
- AI ethics officers, to deepen their understanding of the implementation side of their work to direct those efforts better.
- AI project managers and business leaders who want to introduce interpretable machine learning to their businesses to comply with principles of fairness, accountability, and transparency.
