Bayesian Machine Learning (Part 8) - AI Summary

Now from the above figure we can say the error is very small as the gaussian distribution is conveniently satisfying the job. Another word'field' is basically coming from electromagnetism theory of physics, as this approximation methodology incorporates the impact of nearby neighbors in making the decision, thus incorporating the fields impacts of all neighbors. Step 3: now the expression of KL divergence is used to differentiate and minimize the distance between the posterior and approximation. By taking q(z k) as common and treating the remain multiplier as a constant and for the second object for P(z*), it becomes as Expected value for the random variable q(z 1)*q(z 2) … q(z i) where i! Let us take a working example to understand the concept of mean field approximation in more practical manner.