The Difference between Machine learning and Artificial intelligence 

The difference between Machine learning and Artificial intelligence is broad in various cases. 

However, both parts of computer science are associated with each other.

These technologies are trending technologies used for creating intelligent systems.

Although they are related and are used as a synonym for each other, still both are the two different terms in various cases.

Artificial Intelligence is a vast theory to create intelligent machines that emulate human thinking capability and behaviour.

Machine learning is an application or subset of Artificial Intelligence that allows machines to learn from data without being programmed separately. 

However, in this article, let’s discuss some points that explain the difference between Machine learning and artificial intelligence. 

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Artificial Intelligence Vs Machine Learning

What is Machine Learning?

This involves extracting knowledge from data. 

It is a process by which a machine can learn independently without being separately programmed. 

Machine learning is a part of artificial intelligence machines that help learn from past data or experiences. 

Also, machine learning help computer system to make predictions and take decisions using historical data

Furthermore, it uses a massive amount of structured and semi-structured data to generate accurate results or provide predictions based on that data.

However, it is used in various places, such as the online recommender system.

This system includes Google search algorithms, an Email spam filter, Facebook Auto friend tagging suggestions and more.

It can be divided into three broad levels, which include:

• Supervised learning
• Reinforcement learning
• Unsupervised learning

What is Artificial Intelligence?

Artificial intelligence is a part of computer science that makes a computer system mimic human intelligence. 

It encompassed two words which are: “Artificial” and “intelligence”, meaning  “a human-made thinking power.” 

As such, Artificial intelligence can be said to be a technology that can create intelligent systems that mimic human intelligence.

Moreover, the system does not require to be pre-programmed. Instead, it uses algorithms which can work with their intelligence. 

It also involves machine learning algorithms like Reinforcement learning algorithms and deep learning neural networks. 

However, it is being used in multiple places like Siri, Google, AlphaGo, AI in Chess playing and many more. 

Artificial Intelligence can be classified into three types which are;

• Weak AI
• General AI
• Strong AI

Similarities Between Machine Learning and Artificial Intelligence 

Artificial Intelligence is an “intelligent” computer that uses AI to think like a human and perform tasks on its own. 

Machine learning is how a computer system develops its intelligence. Computers are trained to mimic human reason using neural networks. 

However, this is done by a series of algorithms modelled after the human brain. The neural network then helps the computer system achieve artificial learning through deep learning. 

To sum up, the connection is that the idea of AI vs machine learning is a way of working together.

Differences between Machine Learning and Artificial Intelligence 

Below are some of the critical differences between machine learning and artificial intelligence. 

Artificial Intelligence	Machine Learning
It is a technology that enables a machine to simulate human behaviour.	It is a part of artificial intelligence that allows a machine to learn from past data without separate programming automatically.
It has an extensive range of scope.	It has a limited scope.
It makes intelligent systems perform any task like a human	It teaches machines with data to conduct a particular task and give an accurate result.
It aims to make intelligent computer systems like humans solve complex problems.	It aims to allow machines to learn from data to give accurate output.
An artificial intelligence system is concerned with maximising the likelihood of success.	Machine learning is concerned mainly with accuracy and patterns.
It is working to build an intelligent system that can accomplish various complex tasks.	It is working to build machines that can perform only specific tasks for which they are equipped.
Artificial Intelligence can be divided into Weak AI, General AI, and Strong AI.	Machine learning can also be divided into Supervised learning, Unsupervised Learning, and Reinforcement Learning.
The main applications are; customer support using catboats, Siri, Expert System, an intelligent humanoid robot, Online game playing and more.	The main applications are Google search algorithms, an Online recommender system, friend tagging suggestions, Facebook auto and more.
Artificial Intelligence deals with Structured, semi-structured, and unstructured data.	Machine learning also deals with Structured and semi-structured data.
Artificial Intelligence includes learning, reasoning, and self-correction.	Machine Learning includes learning and self-correction when introduced to new data.

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Final Words on The Difference between Machine learning and Artificial intelligence 

The difference between machine learning and artificial intelligence helps to see how they interact through close connections.

Artificial Intelligence systems are built using machine learning and other techniques.

Meanwhile, Machine learning is created by studying patterns in the data.