Difference between Artificial Intelligence and Machine Learning

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Artificial intelligence (AI) and machine learning (ML) are two popular terms in today’s age of automation. People often use these two terms interchangeably to describe intelligent software or system.

Even though both AI and ML are based on mathematics and statistics, they are not the same thing.

In this article, you will learn the exact differences between AI and ML with some practical examples to clear up any confusion. Let’s start!

What is Artificial Intelligence or AI?

The capability of a system to mimic human cognitive functions like learning and problem-solving is known as Artificial intelligence. A computer system uses maths and logic through AI to simulate the reasoning that humans use to learn from new information and make informed decisions.

What is Machine Learning (ML)?

Machine learning is an application of artificial intelligence. Machine learning is the process of using mathematical models of data to assist a computer to learn without direct instruction. This enables a computer to continuously learn and improve on its own, based on experience.

Are artificial intelligence and machine learning the same?

While artificial intelligence and machine learning are very closely related, they are not the same. Usually, machine learning is considered a subset of artificial intelligence.

How are Artificial Intelligence and Machine Learning connected?

An “intelligent” computer uses artificial intelligence to think like a human and perform tasks on its own. Machine learning relates to how a computer system develops its intelligence.

Scopes of AI

Some of the real-life applications of AI are in the following sectors:

  • Healthcare
  • Agriculture
  • Travel
  • Banking and Finance
  • Marketing
  • Personalized Shopping Experience
  • Chatbots
  • Customer Services
  • Self-driving cars
  • Smart Homes

Scopes of Machine Learning

Even though the scope of machine learning is very high, the following areas are where researchers are working towards revolutionizing the future world:

  • Automotive Industry
  • Robotics
  • Quantum Computing
  • Computer Vision

Examples of AI and ML

Examples of machine learning

  1. Product recommendations on Amazon
  2. Email spam and malware filtering on Gmail and Yahoo

Examples of artificial intelligence

  1. Google’s AI-powered predictions
  2. Ridesharing apps like Uber and Lyft
  3. Commercial flights use an AI autopilot
  4. Plagiarism checkers
  5. Robo-readers
  6. Mobile check deposits
  7. Fraud prevention
  8. Credit decisions
  9. Voice-to-text
  10. Smart personal assistants

Difference between Artificial Intelligence and Machine Learning

  1. A technology that enables machines to simulate human behavior is known as Artificial intelligence. A subset of Artificial intelligence that allows machines to automatically learn from past data and experience without programming explicitly is known as Machine learning.
  2. Artificial intelligence’s goal is to make smart computer systems like humans to be able to solve complex problems. Machine learning’s goal is to allow machines to learn from data to give accurate output.
  3. Intelligent systems perform any task just like humans in artificial intelligence. Machines are taught to perform a particular task with data and give an accurate result in machine learning.
  4. The two main subsets of artificial intelligence are machine learning and deep learning. 
  5. Artificial intelligence has a very wide range of scope. But machine learning has a limited scope.
  6. Artificial intelligence works to create an intelligent system that can perform several complex tasks. Machine learning works to create machines that can perform only the specific tasks for which they are trained.
  7. Artificial intelligence systems are concerned about maximizing the chances of success. Whereas machine learning systems are mainly concerned with accuracy and patterns.
  8. The main applications of artificial intelligence are Siri, an intelligent humanoid robot, customer support using chatbots, expert systems, online game playing, etc. The main applications of machine learning are in online recommender systems, Facebook auto-friend tagging suggestions, Google search algorithms, etc.
  9. Artificial intelligence can be divided into three types on the basis of capabilities, which are, Weak AI, General AI, and Strong AI. Machine learning is also divided into three main types that are Supervised learning, Unsupervised learning, and Reinforcement learning.
  10. Artificial intelligence includes learning, reasoning, and self-correction. Machine learning includes learning and self-correction when new data is introduced.
  11. Artificial intelligence algorithms only deal with structured, semi-structured, and unstructured data. Whereas, machine learning algorithms deal with structured and semi-structured data.


To sum things up, artificial intelligence solves tasks that require human intelligence while machine learning is a subset of artificial intelligence solving specific tasks by learning from data and making predictions.

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