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m (Text replacement - "Category:Machine learning terms" to "Category:Machine learning terms Category:not updated") |
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{| class="wikitable" | {| class="wikitable" | ||
|+ 3 labeled | |+ 3 [[labeled example]]s | ||
|- | |- | ||
! colspan="3"| Features | ! colspan="3"| Features | ||
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{| class="wikitable" | {| class="wikitable" | ||
|+ 3 unlabeled | |+ 3 [[unlabeled example]]s | ||
|- | |- | ||
! colspan="3"| Features | ! colspan="3"| Features | ||
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By providing the computer with multiple examples, it can begin to recognize patterns in data and even learn to recognize fruit on its own. It's like how you can recognize a dog even if you haven't seen that particular breed before because you know its look from all of your previous pictures and experiences with dogs. | By providing the computer with multiple examples, it can begin to recognize patterns in data and even learn to recognize fruit on its own. It's like how you can recognize a dog even if you haven't seen that particular breed before because you know its look from all of your previous pictures and experiences with dogs. | ||
[[Category:Terms]] [[Category:Machine learning terms]] | [[Category:Terms]] [[Category:Machine learning terms]] [[Category:not updated]] |