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For each of the following applications, specify whether supervised learning or unsupervised learning would the predominant learning type in training the computer. Predominant learning

For each of the following applications, specify whether supervised learning or unsupervised learning would the predominant le 

For each of the following applications, specify whether supervised learning or unsupervised learning would the predominant learning type in training the computer. Predominant learning type in training the computer 1. Music recommendation application: Based on a user's listening habits, the user's ratings of music, other users' preferences, and other data, the music recommendation application makes recommendations to users for other songs they may like, 2. Object recognition application: The computer is fed photos with information about what is pictured in each one. The computer is trained to recognize objects in new photos. 3. Handwriting recognition application: Based on samples of handwriting, the computer attempts to convert handwriting into text in a document. The user makes corrections to the computer's text and the computer learns to better identify the handwritten letters. 4. Bankruptcy prediction application: Millions of financial statements, news articles, bankruptcy proceeding documents, and other data are fed into a computer so that the computer can make predictions about which companies are likely to be declaring bankruptcy within the next few years.

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