Difference between AI, Machine Learning and NLP
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
<strong>Difference</strong> <strong>between</strong> <strong>AI</strong>,<br />
<strong>Machine</strong> <strong>Learning</strong> <strong>and</strong> <strong>NLP</strong><br />
By Searchicas
The world is abuzz with technologies such as<br />
Artificial Intelligence, <strong>Machine</strong> <strong>Learning</strong> <strong>and</strong><br />
Natural Language Processing. Before we delve<br />
into why these technologies have become the<br />
talk of town <strong>and</strong> the kind of impact they will<br />
have in the future, as well as the difference<br />
<strong>between</strong> each of them. It is important to<br />
define each of the mentioned technologies to<br />
underst<strong>and</strong> what they exactly mean.
What is Artificial Intelligence?<br />
Artificial intelligence has made inroads into almost<br />
all kinds of industries. The most popular being<br />
home automation, self-driving cars or digital<br />
assistants. The influence of <strong>AI</strong> can be gauged by<br />
the fact that has arrived on the most basic <strong>and</strong><br />
humble keyboard turning into<br />
a smart keyboard<br />
that gives you suggestions based on your intent,<br />
in real time, as you type.
What is <strong>Machine</strong> <strong>Learning</strong>?<br />
As per SAS, machine learning is a<br />
method of data analysis that automates<br />
model building. It is a branch of artificial<br />
intelligence based on the idea that<br />
machine should be able to learn <strong>and</strong><br />
adapt through experience.
What is Natural Language Processing?<br />
Natural Language Processing is the ability of computers<br />
or machines to use algorithms to comprehend commonly<br />
spoken language or text used by humans. Natural<br />
Language Processing (<strong>NLP</strong>) was formulated to build<br />
software that generates <strong>and</strong> underst<strong>and</strong> natural<br />
languages so that a user can have natural conversations<br />
with his computer instead of through programming or<br />
artificial languages like Java or C.
Conclusion<br />
Artificial intelligence is largely dependent on ML <strong>and</strong> <strong>NLP</strong>.<br />
Artificial intelligence as a technology requires machine or<br />
computers to learn to assimilate information <strong>and</strong> then<br />
comprehend it as a human would do in a similar situation.<br />
This can only be made possible by applying machine<br />
learning to computer systems that will use similar sets of<br />
data from different sources, assimilate the data <strong>and</strong> then<br />
comprehend that data, very similar to how a human would.
Thank You!
Change language