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Weighted sum: Difference between revisions
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weighted sum = x_1 * w_1 + x_2 * 2_2 +... + x_n * w_n | weighted sum = x_1 * w_1 + x_2 * 2_2 +... + x_n * w_n | ||
==Example== | |||
{| class="wikitable" | |||
| | |||
|- | |||
! input values | |||
! input weights | |||
|- | |||
| 3 || 2.1 | |||
|- | |||
| 1.5 || 0.7 | |||
|- | |||
| -2 || 1.3 | |||
|- | |||
|} | |||
weighted sum = 4.75 = 3 * 2.1 + 1.5 * 0.7 + -2 * 1.3 | |||
==How Weighted Sum is Used in Machine Learning== | ==How Weighted Sum is Used in Machine Learning== | ||