Please only answer if you know Machine Learning. SHOWall work and EXPLAIN the correct answer.
Question: Suppose I have 10,000 words inmy vocabulary. I would like to use text vectorization to convertsentences (or documents) to numerical vectors. We use the techniqueusing Text Vectorization (Bag of Words).
Which of the following are true? For me to be able to correctly predict the class of any document without using the naive Bayes assumption, I would need 5,000 parameters. For me to be able to correctly predict the class of any document using the naive Bayes assumption, I would need 2* (10,000) parameters. For me to be able to correctly predict the class of any document without using the naive Bayes assumption, I would need 2* (2^(10,000) - 1) parameters. For me to be able to correctly predict the class of any document using the naive Bayes assumption, I would need 2* (2^(10,000) - 1) parameters.
Please only answer if you know Machine Learning. SHOW all work and EXPLAIN the correct answer. Question: Suppose I have
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