👉 Skew-backed is a term used in the field of computer science and artificial intelligence, referring to a type of machine learning algorithm that learns from examples by adjusting its parameters based on the context in which they are being applied. This approach allows the model to adaptively learn from data without needing to be explicitly programmed with rules or constraints. In essence, a skew-backed algorithm adjusts its weights based on the input data rather than relying on predefined rules or thresholds. It is typically used in tasks where
