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(Created page with "{{see also|Machine learning terms}} ===Introduction== Machine learning is a subfield of artificial intelligence that involves developing algorithms and statistical models to make predictions or decisions based on data. One key challenge in machine learning lies in creating models that can generalize well to new data sets, meaning they can accurately forecast outcomes from unknown datasets. In this article, we will examine the concept of generalization in machine learnin...") |
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{{see also|Machine learning terms}} | {{see also|Machine learning terms}} | ||
==Introduction== | |||
Machine learning is a subfield of artificial intelligence that involves developing algorithms and statistical models to make predictions or decisions based on data. One key challenge in machine learning lies in creating models that can generalize well to new data sets, meaning they can accurately forecast outcomes from unknown datasets. | Machine learning is a subfield of artificial intelligence that involves developing algorithms and statistical models to make predictions or decisions based on data. One key challenge in machine learning lies in creating models that can generalize well to new data sets, meaning they can accurately forecast outcomes from unknown datasets. | ||