---
title: "Different between Artificial intelligence, Machine Learning, and Deep Learning."  
description: "Different between Artificial intelligence, Machine Learning, and Deep Learning."  
author: "Revati S Misra"  
published: 2024-04-04  
updated: 2024-04-22  
canonical: https://www.mindstick.com/forum/160608/different-between-artificial-intelligence-machine-learning-and-deep-learning  
category: "artificial intelligence"  
tags: ["artificial intelligence", "ai", "machine learning", "deep learning"]  
reading_time: 2 minutes  

---

# Different between Artificial intelligence, Machine Learning, and Deep Learning.

Different between [Artificial intelligence](https://www.mindstick.com/services/artificial-intelligence), [Machine Learning](https://www.mindstick.com/articles/13070/rising-popularity-of-machine-learning-classes-in-bangalore), and [Deep Learning](https://www.mindstick.com/blog/301936/deep-learning-and-its-working).

## Replies

### Reply by Bhavesh Badani

**Artificial Intelligence (AI)**:

- **Definition**: AI is the concept of creating smart, intelligent machines.
- **Explanation**: It involves incorporating human-like intelligence into machines through algorithms. AI focuses on skills like [learning](https://www.mindstick.com/articles/126221/instructional-design-for-elearning-why-it-is-so-important), reasoning, and self-correction to achieve maximum efficiency.

**Machine Learning (ML)**:

- **Definition**: ML is a subset of AI that enables systems to learn automatically from experience without explicit programming.
- **Explanation**: ML algorithms learn from data and improve themselves. They make observations, identify patterns, and make better decisions based on examples.

**[Deep](https://yourviews.mindstick.com/view/87451/a-journey-into-the-deep-dubai-s-underwater-wonderland) Learning (DL)**:

- **Definition**: DL is a subfield of ML that uses neural networks (similar to the neurons in our brain) to mimic human brain-like behavior.
- **Explanation**: DL algorithms process vast amounts of data and classify information. They work on larger datasets than ML and are self-administered by machines.

In summary:

- **AI** is the broader family, consisting of **ML** and **DL** as its components.
- **ML** is a subset of **AI** that allows systems to learn from data.
- **DL** is a subset of **ML** that uses deep neural networks to analyze data and provide output.


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Original Source: https://www.mindstick.com/forum/160608/different-between-artificial-intelligence-machine-learning-and-deep-learning

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