Machine Learning vs AI (Artificial intelligence)

Machine Learning vs AI (Artificial intelligence)

Artificial Intelligence (AI) and Machine Learning (ML) have become some of the buzzwords in today’s technological world. Most probably you have heard them around a million times too. With Artificial intelligence and Machine learning in action, many things have changed, are changing, and will change.

Many people often use these terms – Artificial Intelligence, and Machine Learning interchangeably. But the thing is though these terms might be related, they are actually distinct. So, in this article, we are going to understand What we mean by Machine learning, Artificial Intelligence, and what is the basic difference between these terms, so that the next time you use, or explore them, you can keep away the confusion.

Machine Learning vs AI (Artificial intelligence)

What is Artificial Intelligence (AI)?

To understand the term “Artificial Intelligence”, let’s break it into “Artificial“, and “Intelligence“, and understand them. As you might know, Artificial means something that copies something natural, or we can say that it is built by humans rather than occurring naturally. On the other hand, Intelligence can be understood as the ability to learn or understand, reason, adapt to new and complex situations, and apply knowledge to achieve some goals.

When glued together, Artificial Intelligence can be considered as Intelligence, built by humans. It involves creating machines, which can perform tasks, which would usually require human intelligence, like decision-making, language translation, automation, speech recognition, object detection, and much much more. This is as if the machine is made to mimic human cognitive functions.

Artificial intelligence is many times thought of as a system, but it is essentially a set of technologies, which are implemented in a system, which enables it to learn, solve some complex problems, and do the other things that would usually require human intelligence.

So, Artificial Intelligence can be considered as an Umbrella term, which consists of several other subfields, which include Machine learning, Deep learning, Robotics, Natural Language Processing, and others.

So, this takes us to further discussion on Machine learning, but we hope that you got a broad idea about what is Artificial Intelligence.

What is Machine learning?

As you might know already, Machine learning is a subfield of Artificial Intelligence. It involves enabling machines, to learn and improve from experience, without being explicitly programmed. It uses algorithms to analyze data, learn from it, and then make predictions, or take decisions according to the learning.

The models can improve their performance with more and more training, as they are exposed to more and more data. We can say that the data is like some food for machine learning algorithms. Just like food gives us humans, the essential nutrients to function properly, data gives necessary information and insights, to learn from, and make decisions and predictions based on the learning.

In today’s world, Machine learning is one of the principal ways people interact with Artificial Intelligence. Basically, we can say that we are kind of trying to automate the repetitive stuff, which can be done by machines, or systems either better than human or at least eliminates the repetitive efforts and errors from humans.

So, this was a brief introduction to Machine learning. It at least gives a broader picture of what is Machine learning and opens up ways for exploration. Now, let’s move towards the difference part, in which we are currently more interested.

What is the difference between Artificial Intelligence (AI) and Machine Learning?

As of now, you might be familiar with what is Artificial Intelligence and is Machine learning in a brief way. Many people use these terms quite interchangeably, but even if they are closely related, these are some different terms, and here, we are going to discuss some of the points of differences between Artificial Intelligence, and Machine learning.

Artificial Intelligence(AI)	Machine Learning
AI or Artificial Intelligence can be understood as creating machines, to simulate human intelligence, and perform tasks, which require human intelligence.	Machine learning is a subfield of Artificial Intelligence, in which, machines can learn from experience (data), to take some decisions, or to make some predictions.
Artificial intelligence comes out be the umbrella term, which consists of more technologies.	We can say that Machine learning is a subfield of Artificial Intelligence.
This aims for systems, which can perform complex tasks.	This aims on making machines learn from past data, and increase output accuracy.
Artificial intelligence has a wide scope of applications.	Machine learning has a limited scope of applications.
Many technologies are used here, to enable a system to mimic human intelligence.	Machine learning uses algorithms, to make predictive models.
AI works on all types of data, whether it be structured, semi-structured, or unstructured.	In the case of Machine learning, we can have structured, or semi-structured data.
Examples of Artificial intelligence include Expert Systems, Expert Chatbots, Virtual Assistants, and many more.	Examples of Machine learning include Image recognition, Recommendation systems, spam classification, and many more.

Summary

In this article, we tried to discuss different things, like what is Artificial Intelligence, what is Machine learning, and what are the differences between Artificial Intelligence, and Machine learning.

So, from the given table of differences, we hope that you are able to understand the points of differences between Artificial Intelligence and Machine learning. These terms might be used interchangeably, but these are some different terms.

What we saw here about Artificial Intelligence, and Machine learning is just a granule of sand in the desert. There is much more to explore and learn about the interesting, and in-demand fields of Machine learning, and Artificial Intelligence. If you wish, you can explore them.

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