Data Science, Data, Machine Learning, Artificial Intelligence, Coding.
is treating it as multiple binary classification problems, that is choosing one class and then lumping all the others into a single second class. We do this repeatedly, applying binary logistic regression to each case, and then use the hypothesis that returned the highest value as our prediction.