We explore the inverse Jacobian method known from kinematics in the context of inverting learned models and present it as another "trick" in the ML toolbox.

This is the first post of two on information theory in the context of unsupervised machine learning. The premise of this first post is to introduce some basic concepts and simple examples to get the thinking started.