Gradient Descent, Machine Learning.
sample number and not feature dimension). Ideally, we want the probability of the first sample to be as close to 1 as possible, while at the same time having the probability of the second sample be as close to 0 as possible. At this point, do you see that there is a trade-off? To have p(1|x₀₀₀₁)