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Mr. Dubey • 52.77K Points
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Q. Which statement is true about neural network and linear regression models?

  • (A) both techniques build models whose output is determined by a linear sum of weighted input attribute values
  • (B) the only examples necessary to compute f(x) in an svm.
  • (C) both models require numeric attributes to range between 0 and 1
  • (D) both models require input attributes to be numeric

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