Part 1 – Introduction to Explainable Deep Learning Anomaly Detection
Before embarking upon an AI journey to drive transformational business opportunities, it is essential to understand the compelling rationale for embracing and incorporating explainability throughout the process.
Part 1 introduces the usage of deep learning and the significant role of XAI in anomaly detection. By the end of Part 1, you will have gained a conceptual understanding with hands-on experience of where XAI fits in the bigger picture of the machine learning (ML) life cycle. Besides the awareness of executive accountability and increased regulatory pressure in AI adoption, you will learn how XAI can bring significant business benefits and turn your AI strategy into a competitive differentiator.
This part comprises the following chapters: