# 2. Use MATLAB

![](https://612292586-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FstSX6fpES491F1pGCECr%2Fuploads%2FNazvPNIox2uIDtfRpewz%2Fimage.png?alt=media\&token=a3a32b7f-71e8-4f11-a0f0-dee29f4cfb16)

MATLAB provides machine learning examples, data analysis and modeling. Try it through the guide below!

### How to use

![](https://612292586-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FstSX6fpES491F1pGCECr%2Fuploads%2Fcf4oa55hcC6OuAEKoTdA%2FMatlab.png?alt=media\&token=20dc22bb-7a43-4d07-8e3f-fceffa80491f)

1. Click **"New Project"** in Yennefer Studio.

![](https://612292586-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FstSX6fpES491F1pGCECr%2Fuploads%2FqKdDzYxG7Jwx5DFq04KV%2FMatlab2.png?alt=media\&token=3b73cbd7-2d62-4b69-a96a-f238fd1b84a1)

2\. Fill in the project title and detailed description and click Next.

![](https://612292586-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FstSX6fpES491F1pGCECr%2Fuploads%2FO7FYmPMZrApvKRWzKqiZ%2FMatlab3.png?alt=media\&token=54b223af-a221-45c5-8893-7aecb1df1477)

3\. Choose a container.\
&#x20;   For CPU container, choose **MATLAB**\
&#x20;    For GPU containers, choose **MATLAB Deep Learning**

\
&#x20;  &#x20;

![](https://612292586-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FstSX6fpES491F1pGCECr%2Fuploads%2Fzq4MkICmc8TQitLcvMod%2FMatlab4.png?alt=media\&token=304135d1-a456-4439-b5fb-826ad899b7b8)

&#x20; 4\. After creating the project, run the server and click MATLAB in the Launcher.

![](https://612292586-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FstSX6fpES491F1pGCECr%2Fuploads%2F67CgJyQ6QVQRPO03xCls%2Fimage.png?alt=media\&token=681502db-ae8a-4d23-9b29-a1da773bb970)

5\. The login page opens in a new window, and you can start your research right away by entering your MATLAB account and accessing it.

&#x20; &#x20;


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