Design a feature space that makes this data linearly separable. Find the normal vector (w) and bias (b) that describes the decision boundary in the feature space. Show your work. +++++ T tt t -S "₁ ++ + 15 ut. t + +3 Ft +t + ++ retrtf ++ ++ 2 F+++++ I T xx xxx-2 ++ -4 -5 t ttp +r+ Pr 1 2 3 + -3 +++ +++ ++++ 4 +++ 5
Design a feature space that makes this data linearly separable. Find the normal vector (w) and bias (b) that describes the decision boundary in the feature space. Show your work. +++++ T tt t -S "₁ ++ + 15 ut. t + +3 Ft +t + ++ retrtf ++ ++ 2 F+++++ I T xx xxx-2 ++ -4 -5 t ttp +r+ Pr 1 2 3 + -3 +++ +++ ++++ 4 +++ 5
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