Law of Connectivity in Machine Learning
  We present in this paper our law that there is always a connection present
between two entities, with a selfconnection being present at least in each
node. An entity is an object, physical or imaginary, that is connected by a
path (or connection) and which is important for achieving the desired result of
the scenario. In machine learning, we state that for any scenario, a subject
entity is always, directly or indirectly, connected and affected by single or
multiple independent / dependent entities, and their impact on the subject
entity is dependent on various factors falling into the categories such as the
existenc
