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ELIMINATING CONFUSION BETWEEN AI AND ML; AI DOESN’T EXIST WITHOUT ITS SUBSETS

Artificial Intelligence and Machine Learning are being used
interchangeably as a term across all segments of technological
applications. Due to their close relation, AI is often confused
with ML but one should not forget the distinction between the two.
Out of all the differences, one is surely the biggest – that
machine learning is a subset of AI. Technology professionals must
understand the trivial difference both possess. Lacking the clarity
between AI and ML, professionals as well as their companies may get
misguided and eventually lose their relevance in the market with
fake or misleading AI solutions.

According to an award-winning writer,Stephanie
Overby
, the most significant misunderstanding is how AI relates
to ML. Where Artificial Intelligence is the umbrella term used to
shelter many technologies, ML is one of its subsets. “AI is
the broad container term describing the various tools and
algorithms that enable machines to replicate human behavior and
intelligence,†explains JP Baritugo, director at management
and IT consultancyPace
Harmon
. There are numerous subsets of AI including Machine
learning, natural
language processing (NLP)
, deep learning, computer vision, and
more.

For those who prefer analogies, Timothy Havens, the William and
Gloria Jackson Associate Professor of Computer Systems in
the College of Computing at
Michigan Technological University
 and director of the Institute of Computing and Cybersystems,
likens the way AI works to learning to ride a bike: “You
don’t tell a child to move their left foot in a circle on the
left pedal in the forward direction while moving your right foot in
a circle… You give them a push and tell them to keep the bike
upright and pointed forward: the overall objective. They fall a few
times, honing their skills each time they fail,†Havens says.
“That’s Artificial Intelligence in a nutshell.â€Â

Machine learning is one way to accomplish that. The technology
uses statistical analysis to learn autonomously and improve its
function, explains Sarah Burnett, executive vice president, and
distinguished analyst at a management consultancy and research
firm Everest Group.


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Originally published by
Smriti
Srivastava
  | May 28, 2020 
Analytics
Insight