--- title: "What is the difference between machine learning and artificial intelligence?" description: "What is the difference between machine learning and artificial intelligence?" author: "Amrita Bhattacharjee" published: 2023-03-28 updated: 2023-04-06 canonical: https://answers.mindstick.com/qa/99300/what-is-the-difference-between-machine-learning-and-artificial-intelligence category: "technology" tags: ["artificial intelligence"] reading_time: 2 minutes --- # What is the difference between machine learning and artificial intelligence? What is the [difference](https://yourviews.mindstick.com/story/5016/chia-vs-basil-seeds-what-s-the-difference) between [machine learning](https://www.mindstick.com/articles/13099/the-importance-of-machine-learning-service-providers) and artificial intelligence? ## Answers ### Answer by Jujhar Singh **Artificial intelligence** [**(AI)**](https://yourviews.mindstick.com/view/84920/how-ai-algorithm-helps-scientists-to-explore-the-universe-with-new-eyes) **and machine [learning](https://www.mindstick.com/articles/44841/5-time-management-tips-for-online-learning-students) (ML) are two terms that are often used interchangeably,** but they are not the same thing. AI is the emulation of human intelligence in machines, while ML is a branch of AI that concentrates on creating algorithms and statistical models that enable machines to learn from data and advance their performance with time.![What is the difference between machine learning and artificial intelligence](https://answers.mindstick.com/QuestionAnswer/f3fd3234-5082-4b78-bf2a-6655a118b2f9/images/619da336-9b17-4575-b28b-bc7562cae4c7.jpeg) [**AI**](https://yourviews.mindstick.com/view/84904/10-tips-to-use-your-ai-for-your-business-effectively) **is a broad field that encompasses various technologies,** including ML, natural language processing, computer vision, robotics, and more. The goal of AI is to create machines that can perform tasks that typically require human intelligence, such as problem-solving, decision-making, and perception. AI systems can be classified as either rule-based or learning-based. Rule-based AI systems use pre-programmed rules to make decisions, while learning-based AI systems use ML algorithms to learn from data and improve their performance over time. **ML is a subset of AI that focuses on the development of algorithms** that enable machines to learn from data without being explicitly programmed. In ML, the machine is given a set of data, and it uses this data to learn and improve its performance over time. ML algorithms can be supervised, unsupervised, or semi-supervised. In supervised learning, the machine is given a set of labeled data and uses this data to learn patterns and make predictions. In unsupervised learning, the machine is given a set of unlabeled data and must find patterns and relationships on its own. In semi-supervised learning, the machine is given a combination of labeled and unlabeled data. While machine learning (ML) is a specific area of artificial intelligence (AI) that deals with the development of algorithms that allow machines to learn from data, AI is a more comprehensive field that includes various technologies. AI systems can be rule-based or learning-based, while ML algorithms are always learning-based. AI systems can be programmed to perform specific tasks, while ML algorithms learn from data and improve their performance over time. --- Original Source: https://answers.mindstick.com/qa/99300/what-is-the-difference-between-machine-learning-and-artificial-intelligence Copyright © MindStick Software Pvt. Ltd. This Markdown version is provided for developers, AI systems, and offline reading.