Artificial Intelligence and Machine Learning
are often referred to each other interchangeably.
And it is a fact that the average person
isn't able to distinguish between
AI and ML even though we rely
on both technologies in our daily lives.
Did you know that both AI
and ML are very different?
Let's find out the difference!
AI stands for Artificial Intelligence, 
also known as machine intelligence.
Early development of AI
focused mainly on calculation.
Today, we are interested in AI applications
that can make decisions on its own.
There are two types of Artificial Intelligence.
Artificial General Intelligence (AGI) and 
Artificial Applied Intelligence (AAI).
The primary goal of Artificial General Intelligence (AGI),
also known as "strong AI" or "full AI",
is to develop a machine's ability to understand,
learn and carry out tasks in the same way a human can.
Artificial Applied Intelligence (AAI), 
also known as "weak AI" or "narrow AI",
refers to software that is used 
to automate a certain task.
However, AAI doesn't aspire to simulate
the full range of human intelligence.
Meanwhile, Machine Learning (ML) is a
set of algorithms that analyzes
large amounts of data to detect patterns 
and make educated guesses.
There are different types of Machine Learning,
one of which is Supervised Learning.
Algorithms are taught using labelled data,
applications such as Google Maps
are trained to using data such as time
and date in order to calculate how long
it will take a user to get home via a given route.
Next type of Machine Learning is the Unsupervised Learning,
which on the other hand 
uses unlabelled data. It enables machines
to detect any patterns it can find.
However, it can be a useful technique
to find previously undetected patterns 
and unsupervised data that are less obvious.
The last type of Machine Learning 
is Reinforcement Learning.
Algorithms that learn by trial and error
in order to achieve a given objective.
Reinforcement Learning was used to
develop AlphaGo,
the first computer program able 
to beat a world Go champion.
There are 4 key differences between
AI and ML. First, Machine Learning is one
of many Artificial Intelligence applications. 
Secondly, Machine Learning is a subset
of AI. All Machine Learning is
Artificial Intelligence, but not all
Artificial Intelligence is Machine Learning.
Third, there is a more specific objective
behind Machine Learning applications. 
And lastly, Machine Learning learns from data,
while Artificial Intelligence is 
a simulation of human intelligence.
The truth is Artificial Intelligence 
and Machine Learning are already
very much a part of our daily lives 
and it has also made possible
a wide range of applications to make our
lives easier and more fulfilling.
As for what comes next,
the sky is the limit!
