Quantum Computing, Quantum Algorithms, Quantum Machine Learning, Code, Artificial Intelligence.
to the decision hyperplane. Mathematically, w is defined by the coefficients that determine the orientation of the hyperplane in the feature space. The decision hyperplane can be described by the equation w⋅x + b = 0, where w is the weight vector, x is a feature vector (i.e., a point in the feature