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A bacterium that cause Meningitis, Neisseria meningitidis, initially colonizes the _______. 

If a person who has never been infected with or vaccinated against the varicella-zoster virus comes in contact with a person who has shingles, they can come down with:

Which two hormones continue to be studied for their interactions on how the body uses the food we consume? 

An infant has just been admitted to the hospital showing a flat pink rash on the trunk of their body that only lasts 3 days. Knowing that the infants parents have opted out of the MMR vaccine, which viral infection is the patient likely suffering from:

The most significant factor(s) in the development of obesity is:

Which one is not true for lexicon-based sentiment analysis (i.e., dictionary-based sentiment analysis)?

Term frequency–inverse document frequency (TF-IDF):  TF-IDF = Term Frequency (TF) × Inverse document frequency (IDF)         = the frequency of the word `i` in the document `n` × log( ) Where N is the total number of documents and is the number of documents containing word `i`. For example, if there are two documents with three words as vocabulary, the TF-IDF embedding vector for each document is: Based on the above information, TF-IDF weights (1)_________(a. less b. more) frequency words in the given document, while (2)____________(a. less b. more) weights common words in documents.

An economist predicts consumer choice between banana (1), apple (2), and cheese (3) using two input features through the above artificial neural network. Based on the above figure, if the output of the softmax function for each class in the output layer are, 0.1 for banana, 0.2 for apple, and 0.7 for cheese, the consumer will purchase (1)____________ (a. banana, b. apple c. cheese; 2 points). This example is a case of (2) ___________(a. regression, b. binary classification, c. multi-class classification; 2 points). Here, the output of the softmax function in the output layer is the probability of y, where y  

Which one is not true for Latent Dirichlet Allocation (LDA; topic modeling)?

Which one is not a method to select the optimal number of clusters in K-means?