You can see things get rather complicated in this fast-growing field. Often, each side does not listen to the other sometimes with disastrous consequences for the optimal solution and the truth. For this reason, Synergy Data Science focuses on masterfully combining "new school" data science with "old school" data science by using our unique Synergistic Method™ .
Data
science
is a relatively new term that did not gain widespread traction until
2015 in the Fortune 500 business community outside Silicon Valley. Many
“new
school”
data science models are from paradigms (scientific world views) such as
engineering or computer science. Those two paradigms often focus on
problems concerning inanimate objects such as computer networks or
engineering components. The focus of many techniques
therefore was on deterministic or non-stochastic problems solved using
mathematical or logic-based algorithms. (Business translation:
modeling of things and not people, often no need for statistical
hypotheses or the scientific method, no need to ask why, goal of
accurate prediction not causality.) Although developed based
on things like robots and machines, Artificial Intelligence (AI) and
deep learning can often produce biological, genetic, and environmental
predictions of human behavior (or that of other living organisms) more
accurately than techniques from traditional scientific fields.
Numerous
“old
school”
paradigms
are
based more on human behavior. These areas bring business judgment, the
scientific method, statistics, econometric models, finance, psychology,
education, and marketing modeling to applied data science. The focus of many old school techniques
therefore is on probabilistic problems also called stochastic
processes instead of pure mathematics and logic. (Business
translation: modeling of people and not things, ability to test
hypotheses and perform what if analyses, a need to ask why, with
likely goals of accurate prediction, getting financial impacts of
causative factors, and explanation of what is most important.) Although
developed based on people and financial transactions, regression models
and simple statistical techniques can often produce easy-to-understand
models of machine and IoT (Internet of Things) behavior that are simpler
to run, interpret, and create than complicated black box algorithms.
Our
unique
advantage at Synergy Data Science is the “Synergistic
Method™ we
pioneered
to leverage old and new school approaches targeted to a client’s needs.
We obtain
stronger,
more
robust and accurate solutions with our diverse mixture of “new
school”
and “old
school”
data scientists and approaches. Note that often using BOTH new and old
school techniques together is the key to optimal results for clients.
EXTERNAL
LINKS
(DEFINITION
OF DATA SCIENCE OR OTHER TOPICS AS NOTED)
National Center for Educational Statistics
National
Network of Libraries of Medicine
Data Scientist is the "Sexiest Job"
Pro's
and Con's of Data Science from Data Flair
SYNERGY
DATA SCIENCE LINKS
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