> For the complete documentation index, see [llms.txt](https://eye-ai.gitbook.io/eye-ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://eye-ai.gitbook.io/eye-ai/overview/terms-of-artificial-intelligence.md).

# Terms of Artificial Intelligence

*AI has become a generic term for applications that perform complex tasks that previously required information from the user, such as communicating with customers online or a game of chess. The term is often used interchangeably with its subfields, which include <mark style="background-color:blue;">**machine learning**</mark> and <mark style="background-color:blue;">**deep learning**</mark>. However, there are differences. For example, machine learning is focused on creating systems that learn or improve their performance based on the data they consume. It is important to note that while all machine learning is AI, not all AI is machine learning.*

*To get the full value of AI, many companies are making significant investments in data science teams. Data science, an interdisciplinary field that uses scientific and other methods to extract value from data, combines skills from fields such as statistics and computer science with business knowledge to analyze data collected from a variety of sources.*


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