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2. View and manage data associated with your account - AOL Help

   help.aol.com/articles/view-and-manage-data...

   3. Beside the download request, click Download. A file containing your data will then start to download to your computer or device. Cancel your download request: 1. Go down to "Download Request In Progress." 2. Click Cancel the download request. 3. Beside the current download request, click Cancel request.

3. Google Messages - Wikipedia

   en.wikipedia.org/wiki/Google_Messages

   Some of the most important features in Google Messages are: [29] Send instant text and voice messages in 1:1 or group chat conversations over mobile data and Wi-Fi, via Android, Wear OS or the web. End-to-end encryption for RCS chats. [22] Typing, sent, delivered and read status; Reply and react to specific messages; Share files and high ...

4. Enlarge or reduce the font size on your web browser

   help.aol.com/articles/how-do-i-enlarge-or-reduce...

   With simple keyboard shortcuts, you can zoom in or out to make text larger or smaller. In an instant, these commands improve the readability of the content you're viewing. • Zoom in - Press Ctrl ( CMD on a Mac) + the plus key ( + ) on your keyboard.

5. Search for messages in AOL Mail

   help.aol.com/articles/search-for-messages-in-new...

   Go to AOL Mail.; Click on the search box and then click on Advanced.; Choose the section of your account you want to search. At the bottom click Search.

6. Lossy compression - Wikipedia

   en.wikipedia.org/wiki/Lossy_compression

   While data reduction (compression, be it lossy or lossless) is a main goal of transform coding, it also allows other goals: one may represent data more accurately for the original amount of space [5] – for example, in principle, if one starts with an analog or high-resolution digital master, an MP3 file of a given size should provide a better ...

7. Data compression - Wikipedia

   en.wikipedia.org/wiki/Data_compression

   Data compression aims to reduce the size of data files, enhancing storage efficiency and speeding up data transmission. K-means clustering, an unsupervised machine learning algorithm, is employed to partition a dataset into a specified number of clusters, k, each represented by the centroid of its points.