Unlocking the Black Box: Understanding Machine Learning Explainability
Introduction Machine learning (ML) has revolutionized numerous industries and aspects of our lives, from image recognition to natural language processing. However, as ML models become increasingly complex, it’s becoming more challenging to understand how they make decisions. This lack of transparency has sparked concerns about the reliability and trustworthiness of ML systems. That’s where ML explainability comes in – a crucial concept that helps us comprehend how ML models work and make decisions. In this article, we’ll delve into the definition and concepts of ML explainability, exploring its importance and applications. ...