Gradient Descent, Machine Learning.
clearer to be represented as p(y=1|xᵢ), though it is common practice to shorten the notation since it is obvious from the context. p(1|xᵢ) + p(−1|xᵢ) = 1, for a binary classification problem, and we can express both probabilities as a function of the model weights w and the observed feature vector