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

# Introduction

Machine learning is a subset of artificial intelligence that allows systems to learn from data, identify patterns, and make decisions with minimal human intervention.

<figure><img src="https://3534497751-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FHBhflVf91jxK4ccRhKqv%2Fuploads%2F4N9gwjlqN8vfOIY68zcj%2Fml-introduction-min.png?alt=media&amp;token=22ace87d-3f93-4cc4-a47e-538ff236bbc3" alt=""><figcaption><p>Introduction to ML</p></figcaption></figure>

Instead of relying on fixed rules, machine learning algorithms identify patterns and make decisions based on the data they receive. This ability to learn from experience makes machine learning particularly useful in various applications.

In traditional programming, developers write specific instructions to solve problems. In contrast, machine learning allows systems to automatically learn from examples and adapt to new information. This difference opens up exciting possibilities for developing intelligent systems capable of performing incredibly complex tasks.