2. With the Native American languages like those
found in the Algonquian community, there is a
marker in the language for the essential hierarchy
of who is being referred to, the direct/inverse
alignment.
Although the specifics of direct/inverse alignment
are beyond the scope of this presentation, some
Native American languages have this alignment for
what is essentially a hierarchy of references in a
statement.
3. For example,
He sees the bear.
The bear sees him.
In some Native American languages, the two sentences would differentiate into a sort of hierarchy of humans, animate creatures, and
inanimate objects. Humans shares communities and their perspective makes sense to be prioritized for understanding events.
4. • Let's call this perspective 𝜶 for the perspective that
can change,
• but is the primary reference point.
5. On this graph, the perspective would be
the human seeing a small group of bears,
composed of the slope ß of the line of
sight. The difference from each individual
bear to this line is ε.
6. In terms of the use in some Native
American languages,
a hierarchy tends to exist of human-
animate creatures-inanimate objects.
If we consider ε as inanimate, we have:
Human + animate creatures +
inanimate objects
𝜶 + ßx + ε = y
7. The goal of the proposed online course is to
teach
data analytics based on features of Native
American languages,
which in turn can enhance technical business skills
in the Native American communities.
8. From the previous exercise,
the goal is to teach overfitting
of data and related issues by
means of graphs like the
following:
9. A change in terrain could alter
the positions of the bears.
However, it does not
necessarily have a direct cause
and effect relation...it is
essentially agent/patient.
10. Overfitting is not ideal in data
analytics,
especially in terms of what is called
data training.
However, a general agent/patient
perspective analogous to terrain
affecting the bears is more of how
data analytics works.
11. Agent/patient is found in many Native American
languages.
In terms of other applications of agent/patient,
there is what is called Bayesian Inference, which
also will be presented in the proposed online
course.
