Artificial Intelligence and Machine Learning both are the
terms of computer science. This article addresses several points on the basis
of which we can distinguish between these two terms.
Overview
Artificial Intelligence: The word Artificial Intelligence
consists of two words "Artificial" and "Intelligence".
Artificially refers to something made by humans or not natural and intelligence
means the ability to understand or think. There is a misconception that
Artificial Intelligence is a system, but it is not an AI system implemented in
the system. There are so many definitions of AI, one definition can be
"This is the study of how to train a computer so that computers can do
things that humans can do better now." Therefore this is intelligence
where we want to add all the capabilities to machines that contain humans.
Machine Learning: Machine Learning is learning where
machines can learn by themselves without being explicitly programmed. This is
an AI application that provides the ability of the system to automatically
learn and improve from experience. Here we can produce a program by integrating
the input and output of that program. One simple definition of Machine Learning
is "Machine Learning is said to learn from the experience of E w.r.t for
several classes of assignments T and measures of P performance if learners'
performance on assignments in class measured by P increases with
experience."
The main differences
between AI and ML are:
ARTIFICIAL
INTELLIGENCE
AI manages more comprehensive issues of automating a system.
This computerization should be possible by utilizing any field such as image
processing, cognitive science, neural systems, machine learning etc.
AI manages the making of machines, frameworks and different
gadgets savvy by enabling them to think and do errands as all people generally
do.
AI is short for Artificial intelligence, where intelligence
is defined as the acquisition of knowledge intelligence is defined as the
ability to achieve and apply knowledge.
The aim is to increase the chances of success and not
accuracy.
It functions as a computer program that does smart work
The aim is to simulate natural intelligence to solve complex
problems.
AI is decision making.
This leads to the development of a system to imitate humans
to respond to behave in a situation.
AI will look for an optimal solution.
MACHINE LEARNING
Machine Learning (ML) manages which influences the user's
machine to benefit from the external environment. This external environment can
be sensors, electronic segments, external storage gadgets, and many other
devices.
What ML does, depending on user input or requests requested
by the client, the framework checks whether it is available on the knowledge
base or not. If available, it will return the results to the user related to
the request, but if not stored initially, the machine will accept user input
and will increase its knowledge base, to provide better value to the end.
ML is an abbreviation of Machine Learning which is defined
as the acquisition of knowledge or skills
The aim is to increase accuracy, but don't care about
success
This is a simple concept engine that takes data and learns
from data.
The aim is to learn from data on a particular task to
maximize machine performance on this task.
ML allows the system to learn new things from the data.
This involves in creating an independent learning algorithm.
ML will only find a solution for that whether it is optimal
or not.
ML leads to knowledge.
Conclusion:
Artificial Intelligence and Machine Learning are products of
science and myth. The idea that machines can think and do tasks like thousands
of years old humans do. Cognitive truths expressed in AI systems and machine
learning are also not new. It might be better to see this technology as an
implementation of strong cognitive principles that have long been established
through engineering.
Artificial Intelligence and Machine Learning tend to replace
the current technological modes we see today, for example, traditional
programming packages such as ERP and CRM certainly lose their appeal.
Artificial intelligence and machine learning are something
that will redefine the world of software and IT in the near future.
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