State Vector
In the context of data science and artificial intelligence, a state vector is a mathematical representation of the state of a system. It is a vector that contains all the relevant information about the system at a given point in time. The state vector can be used to predict the future behavior of the system, given its current state and the laws that govern its behavior. In machine learning, state vectors are often used to represent the state of a neural network or other learning algorithm. The state vector contains the values of all the parameters of the algorithm, such as the weights and biases of the neurons, and is updated during the learning process. State vectors are also used in quantum computing to represent the state of a quantum system, which can be in a superposition of multiple states at once.
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