What is the difference between AI and ML based on the task performed?

Based on the tasks performed, the difference between Artificial Intelligence and Machine Learning is that AI attempts to develop an intelligent system capable of performing a variety of complicated tasks. Machine learning aims to construct machines that can only accomplish the tasks for which they have been programmed.

Difference Between Artificial Intelligence and Machine Learning

By Aina Parasher|Updated : June 16th, 2022

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Difference Between Artificial Intelligence and Machine Learning: Artificial intelligence and machine learning are two aspects of computer science that are linked but there is a lot of difference between artificial intelligence and machine learning. These two technologies are the most popular when it comes to developing intelligent systems.

Despite the fact that these are two related technologies that are frequently used interchangeably, they are nonetheless two distinct names in some situations. In this article, we have discussed machine learning, artificial intelligence, and the difference between artificial intelligence and machine learning in the sections below.

Table of Content

1. Difference Between Artificial Intelligence and Machine Learning
2. What is Artificial Intelligence?
3. What is Machine Learning?

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Difference Between Artificial Intelligence and Machine Learning

Artificial intelligence and machine learning are two aspects of computer science that are linked. These two technologies are the most popular when it comes to developing intelligent systems. It is an important topic in the GATE CSE syllabus. Let us now check the difference between artificial intelligence and machine learning in the table below.

Key Difference Between Artificial Intelligence and Machine Learning

Artificial Intelligence	Machine Learning
Artificial intelligence (AI) is a technology that allows machines to imitate human behaviour.	Machine learning is a subset of artificial intelligence that allows a machine to learn from prior data without having to design it directly.
AI is decision-making.	ML allows the system to learn new things.
It promotes intelligence.	It promotes knowledge.
The AI system is focused on increasing the probability of success.	The key concerns of machine learning are accuracy and patterns.
Weak AI, General AI, and Strong AI are the three forms of AI that may be classified based on their capabilities.	Supervised learning, Unsupervised Learning, and Reinforcement learning are the three primary categories of machine learning.

What is Artificial Intelligence?

The terms "Artificial" and "Intelligence" make up the term Artificial Intelligence. Artificial refers to something created by humans or a non-natural entity, whereas intelligence refers to the capacity to comprehend or think. The system makes use of artificial intelligence. There are numerous definitions of AI, one of which is "the study of how to teach computers such that computers can accomplish things that humans can do better at the moment."

Artificial intelligence systems do not need to be pre-programmed; instead, they employ algorithms that function in conjunction with their own intellect. It is an intelligence in which we aim to bring all of the capabilities of a person to a computer.

What is Machine Learning?

Machine learning refers to the ability of a machine to learn on its own without being explicitly programmed. It is an AI application that enables a system to automatically learn and develop as a result of its experiences. We can generate a program here by combining the program's input and output.

Without being explicitly coded, machine learning allows a computer system to generate predictions or make judgments based on past data. Machine learning makes use of a large quantity of structured and semi-structured data in order for a machine learning model to provide reliable results or make predictions based on it.

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FAQs on Difference Between Artificial Intelligence and Machine Learning

What is the basic difference between Artificial Intelligence and Machine Learning?
The basic difference between Artificial Intelligence and Machine Learning is that Artificial intelligence (AI) is a technology that allows a computer to mimic human behavior. Machine learning is a subset of artificial intelligence that allows a machine to learn from prior data without having to design it directly.
What is Artificial Intelligence?
Artificial intelligence (AI) is the replication of human intellect in robots that have been trained to think and act like humans. The phrase may also refer to any machine that demonstrates human-like characteristics like learning and problem-solving.
What is Machine Learning?
Machine learning is a branch of artificial intelligence that is described as a machine's capacity to mimic intelligent human behavior. It focuses on the use of data and algorithm by improving the accuracy.
What is the difference between Artificial Intelligence and Machine Learning based on their objective?
Based on their objective, the difference between Artificial Intelligence and Machine Learning is given below.
- The objective of AI is to create a clever computer system that can solve complex problems in the same way that people can.
- The purpose of machine learning is to allow machines to learn from data and produce reliable results.
What is the difference between AI and ML based on the task performed?
Based on the tasks performed, the difference between Artificial Intelligence and Machine Learning is that AI attempts to develop an intelligent system capable of performing a variety of complicated tasks. Machine learning aims to construct machines that can only accomplish the tasks for which they have been programmed.