Machine Learning Interview Questions Part #1

What is the difference between supervised and unsupervised machine learning?


Answer: Training labelled data, Train the model, No labeling data.


How is KNN different from k-means clustering? 


Answer: Supervised classification algorithm, Unsupervised clustering algorithm, Mechanisms, Unlabeled points and threshold, Computing the mean of the distance.


Explain how a ROC curve works. 


Answer: Contrast between true positive rates and the false positive rate, Sensitivity, Fall-out, False alarm.



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