Anjuum Khanna- The Key Difference Between Artificial Intelligence and Machine Learning
                     Anjuum Khanna- The Key Difference 
Between Artificial Intelligence and 
Machine Learning
Anjuum Khanna– Artificial Intelligence or better known 
as AI has been of major significance in the modern 
generation. AI has been the center of wonder and fear 
amongst tech enthusiasts as well as traditionalists. But 
there is one more buzzword that keeps floating around 
in the air of the market which most people confuse with 
artificial intelligence. And that is called Machine 
Learning. 
Machine Learning has been around for a short period 
with us but has grown immensely popular, though it has 
often been overshadowed by the buzz worthy Artificial 
Intelligence. Well, in this blog post we will cover brief 
differences between Machine Learning and Artificial 
Intelligence, and their potential as well as their existing 
applications.
What is the Core Difference 
Between Machine Learning and 
Artificial Intelligence?
To put it in layman’s terms, Machine Learning is identifying 
patterns to solve future problems that will have the same 
patterns, and Artificial Intelligence is the art of a computer in 
absorbing knowledge and applying it according to different 
situations.
Artificial Intelligence as the name suggests is at present 
an inferior machine compliment of the human brain 
which can absorb and even synthesize effective 
procedures that are better suited in varied situations and 
completely new environments. It does not rely much on 
data but critical thinking.
Machine Learning is the art of understanding the patterns 
in enormous amounts of data and developing an 
algorithm that can efficiently solve problems of the future 
in a similar environment. Both AI and ML are very similar 
yet complete opposites of each other. One relies on 
patterns to form similar future solutions and the other 
relies on gaining knowledge that can be diverse.
Which is More Useful, Machine 
Learning, or Artificial Intelligence?
It would not do justice to anyone of the two by saying the 
other is better. Both Machine Learning and Artificial 
Intelligence have existing as well as potential applications that 
can prove to be revolutionary.
Though it is interesting to note that, due to the development 
of AI being a considerably difficult task than Machine 
Learning, Machine Learning and the explosion of big data has 
to lead to ML being very valuable to current corporations. 
ML with the help of terabytes of data that floats around us 
every minute has advanced quite down the line and has 
proved to be a valuable asset for huge market companies in 
increasing their efficiency and solving critical problems.
Artificial Intelligence is certainly not behind though. 
The suggestions that we get for paths on our journeys 
to cut down our time are made by Google’s AI for 
Google Maps. Sir i is one of the most popular and 
accessible AI out there which is used by millions of 
people. And ironically, with the ardent of technology, 
the AI of Google Maps communicates with the AI of 
Tesla cars to take paths that can save time.
So we do already have AI’s mixing up with each other 
and communicating! Even if it is in a controlled and 
technical manner.
The Real World Applications of 
Artificial Intelligence and Machine 
Learning
AI has seen a resurgence in today’s modern era after its 
development was questioned by traditionalists. But keeping the 
idea of AI taking over the world aside, it has found many real-
world applications today!
AI has seeped into many parts of our life. Most rivals in a 
game are powered by AI, all social media platforms use 
artificial intelligence to recommend content for your feed, 
and various chatbots and assistants are now controlled by 
AI.
As mentioned previously, Google Duplex, Siri, Alexa, and 
other mobile assistants are all AI-powered applications 
that are accessible to us with a flick of the wrist.
Machine Learning on the other hand has more subsidiary 
applications that have proved to be extremely valuable to 
corporations. Facebook’s ‘tag a friend feature’ works based 
on Machine Learning and going through photos of users to 
provide accurate recommendations.
Machine Learning is also present in apps that offer 
services. For example, apps like Uber present a 
personalized interface to the users for a better experience 
and virtual maps produce an ETA based on analyzing data 
of other cars through Machine Learning. 
Machine Learning and Artificial Intelligence are the two 
most popular buzzwords in the tech field right now, but 
despite being buzzwords, they have deeply seeped into the 
lives of the average consumer. If you would look around 
yourself, you would realize just how much you are 
surrounded by the science fiction of yesterday.
Who is Anjuum Khanna?
Anjuum Khanna is a tech enthusiast who is always 
on the lookout for the future.
 An experienced tech blogger and a market leader, 
Anjuum Khanna lives, and breathes tech.
Check out more of Anjuum Khanna down below:
Why Artificial Intelligence Matters
What is Machine Learning