Machine Learning Vs Artificial Intelligence! Are They Same Or Different?

Machine learning and Artificial Intelligence are slowly becoming part of the technology and services we use on a daily basis. When a new technical product comes into the market the company says whether it has Machine Learning or Artificial Intelligence so often we get confused about the perception and think that: ‘Are they same or different?’. In this post, you will get to know about their differences and relationship.

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What are Machine Learning and Artificial Intelligence?

Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs that can teach themselves to grow and change when exposed to new data. Machine learning studies computer algorithms for learning to do stuff.

Whereas, AI, Artificial Intelligence is the way to train computers and machines to behave like humans and the processes that would be done by these machines would be similar to that of a Human Brain. It is the broader concept of machines being able to carry out tasks in a way that we would consider “smart”.

What differentiates Machine Learning from Artificial Intelligence?

It’s a common misconception that people have when discussing Machine Learning and Artificial Intelligence, regarding how they are two different things. If you consider AI to be a set, Machine Learning would be its subset.

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Machine learning is a science that involves the development of self-learning algorithms whereas Artificial Intelligence is a science to develop a system or software to mimic human to respond and behave in a circumstance.

Difference Between Artificial Intelligence And Machine Learning
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Machine learning doesn’t care about intelligent behavior but does care about accuracy and patterns. While Artificial intelligence cares about maximizing the chance of success and not accuracy.

The concepts of Machine Learning are not different from AI, but instead, allow systems to achieve it. Several concepts of Artificial Intelligence are used with Machine Learning. Every concept that’s used in Artificial Intelligence, is used in Machine Learning, in some way or the other.

Artificial Intelligence (A.I) is a broader concept of machines which is able to carry out various tasks in smarter ways. While Machine Learning is a new application of the AI. This is based on the idea to give data access to the machines so that they can learn from themselves.

The relationship between them…

Machine learning is a subset of Artificial Intelligence and focuses on the ability of machines to receive a set of data and learn for themselves, changing algorithms as they learn more about the information they are processing. Machine Learning is more about learning and nothing else which is one of the activities to achieve Artificial Intelligence.

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In short:

Artificial Intelligence: Human Intelligence Exhibited by Machines

Machine Learning: An Approach to Achieve Artificial Intelligence

Machine learning is what most applications of AI in business rely on currently. The concepts of AI are used in Machine Learning, and hence ensuring that the system achieves Artificial Intelligence.

All machine learning counts as AI, but not all AI counts as machine learning.

Applications comparing both…

► When you upload photos to Facebook, the service automatically highlights faces and suggests friends tag. How can it instantly identify which of your friends is in the photo? Facebook uses AI to recognize faces whereas

Instagram, which Facebook acquired in 2012, uses machine learning to identify the contextual meaning of emoji, which have been steadily replacing slang (for instance, a laughing emoji could replace “lol”). By algorithmically identifying the sentiments behind emojis, Instagram can create and auto-suggest emojis and emoji hashtags.

► The advancement of self-driving technologies in the automotive industry can be seen as a perfect current day example of AI and machine learning. Companies such as Alphabet Inc’s Waymo are testing self-driving technologies with the use of advanced sensors, vision system, and radars. These technologies are paired with deeply integrated software which processes an extensive amount of historical and current data.

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In this case, Machine Learning is used to generate predictions based on Big Data to guide the car to make decisions in real time without human assistance, while AI is used to execute tasks and smart actions to drive the car.


Debobrata Deb

Written by Debobrata Deb

He has always been interested in technology, especially knowing deeply about computers or gadgets since childhood. Gathering and sharing more and more knowledge relating to awesomeness is what he always like to do.