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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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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. TTTTTT t rrkir.! T tt + + f t ++ -3-- 11 T 十十十 ++ F +3 Ft ttt it 15 14 ++++ 2 -1 F ++ -2 -4 -5 1 + 2 ³4 I + ++P +r+ f ++ 3 ff + 4 +++ +++ 5
Transcribed Image Text: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. TTTTTT t rrkir.! T tt + + f t ++ -3-- 11 T 十十十 ++ F +3 Ft ttt it 15 14 ++++ 2 -1 F ++ -2 -4 -5 1 + 2 ³4 I + ++P +r+ f ++ 3 ff + 4 +++ +++ 5
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