Gradient Descent, Machine Learning.
close to 1, we want w to be very positive. On the other hand, to have p(1|x₀₀₀₂) close to 0, w has to be very negative. This is why the loss can never reach 0 in our given example (as well as in real life). Applying the equation, you can compute the loss to be 1.12 when w=0.5. Note that this is the