> For the complete documentation index, see [llms.txt](https://docs.graphite-note.com/graphite-note-documentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.graphite-note.com/graphite-note-documentation/understanding-machine-learning/introduction-to-machine-learning/what-is-machine-learning.md).

# What is Machine Learning

#### Machine learning is a method that uses data to teach computers to recognize patterns and key drivers, allowing them to predict future outcomes without being explicitly programmed.

<figure><img src="https://3727300098-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FgnR78y9L7FDWeb4jdvdW%2Fuploads%2FKhysQjpOqcdrm3qLWFRZ%2Fillustration%20%E2%80%93%201.png?alt=media&amp;token=56117672-c575-41d0-b27f-2e6773141efa" alt=""><figcaption></figcaption></figure>

No-code machine learning is a simplified approach to machine learning that allows users to build, train, and deploy machine learning models without needing to write any code. This makes advanced data analysis accessible to non-technical users, empowering business teams to harness machine learning insights without relying on data scientists or programmers.

In no-code machine learning, platforms like Graphite Note provide intuitive interfaces where users can import data, select features, and train models through guided steps. For example, machine learning, as a method, uses data to teach computers to recognize patterns and key drivers, enabling them to predict future outcomes. In a no-code environment, this process is automated, allowing users to set up predictive models by simply uploading data and selecting key variables, all through a user-friendly, visual workflow.

By removing the complexity of coding, no-code machine learning enables organizations to leverage powerful data insights faster, supporting better business decisions and allowing companies to respond more quickly to market demands.


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