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Data Mining_______ is a comparison of the general features of the target class data objects against the general features of objects from one or multiple contrasting classes. (i) Data characterization (ii) Data classification (iii) Data discrimination (iv) Data selection20202mData MiningThe margin of the decision boundary in SVM is given by (i) d = \frac{1}{|w|} (ii) d = \frac{1}{2 \cdot |w|} (iii) d = \frac{2}{\|w\|} (iv) d = \frac{1}{|w|^2}20222mArtificial intelligenceWhich of the following is most likely used in deep learning? (i) Decision Trees (ii) Shallow neural networks (iii) Multi-layered neural networks (iv) K-Means algorithm20242mMACHINE LEARNINGExplain the concept of linear classifiers. How do they separate classes in feature space? Give examples of linearly separable and non-separable datasets.20257m
PreviousThe 0 (zero) correlation value between two data object indicates (i) no linear relationship between two objects (ii) non-linear relationship between two objects (iii) linear relationship between two objects (iv) Both (i) and (ii)NextThe margin of the decision boundary in SVM is given by (i) d = \frac{1}{|w|} (ii) d = \frac{1}{2 \cdot |w|} (iii) d = \frac{2}{\|w\|} (iv) d = \frac{1}{|w|^2}