Understanding Interpretability in Machine Learning: A Key to Trustworthy AI
Interpretability in machine learning has become increasingly important as models grow in complexity and as artificial intelligence (AI) expands into critical sectors. At its core, interpretability refers to our ability to comprehend and explain how a model arrives at its decisions. Whether in business, healthcare, finance, or law, understanding the reasoning behind a machine learning … Read more