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What insights can an ROC curve provide about a classifier? What are the main contrasts between the methodologies of bagging and boosting?

How do the data requirements differ between supervised, unsupervised, and reinforcement learning?

Can you demonstrate how you would discover the communal origins between two individuals in a family tree?

How can the coefficients in a logistic regression model be interpreted with respect to their influence on the response variable?

What do the training and loss graphs signify for a neural network? How do different loss functions influence the shape of the loss graph, and what are some widely utilized ones? How do the training and loss graphs differ, and what do they contribute towards optimizing and augmenting model performance?

What do you know about Least Recently Used (LRU) caches?

What method would you use to program a function that generates all anagrams of a given string?

Elaborate on the differences between the tabular and multidimensional model, highlighting the one that Azure analysis services endorse?