👉 Non-interpretable data, also known as non-interpretable data or uninterpretable data, is a type of data that cannot be understood by humans. This can happen in various contexts, such as when data is not clear on what it means or how to interpret the data. In data science and machine learning, non-interpretable data refers to data that has complex patterns, relationships, or underlying structures that are difficult for humans to understand or extract meaning from. For example, if a
