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1) Which of the artists below have had the most unique users listening to their songs? a) Kanye West b) Foo Fighters c) Taylor Swift d) Lady GaGa 2) Which of the artists below is the most popular artist, the one with highest total listen_count, in the data set? a) Taylor Swift b) Kings of Leon c) Coldplay d) Lady GaGa 3) Which of the artists below is the least popular artist, the one with smallest total listen_count, in the data set? a) William Tabbert b) Velvet Underground & Nico c) Kanye West d) The Cool Kids

1) Recommending items based on global popularity can (check all that apply): a) provide personalization b) capture context (e.g., time of day) c) none of the above 2) Recommending items using a classification approach can (check all that apply): a) provide personalization b) capture context (e.g., time of day) c) none of the above 3) Recommending items using a simple count based co-occurrence matrix can (check all that apply): a) provide personalization b) capture context (e.g., time of day) c) none of the above 4) Recommending items using featurized matrix factorization can (check all that apply): a) provide personalization b) capture context (e.g., time of day) c) none of the above 5) Normalizing co-occurrence matrices is used primarily to account for: a) people who purchased many items b) items purchased by many people c) eliminating rare products d) none of the above 6) A store has 3 customers and 3 products. Below are the learned feature vectors for...

1) What’s the least common category in the training data? a) bird b) dog c) cat d) automobile 2) Of the images below, which is the nearest ‘cat’ labeled image in the training data to the the first image in the test data (image_test[0:1])? f 3) Of the images below, which is the nearest ‘dog’ labeled image in the training data to the the first image in the test data (image_test[0:1])? d 4) For the first image in the test data, in what range is the mean distance between this image and its 5 nearest neighbors that were labeled ‘cat’ in the training data? a) 33 to 35 b) 35 to 37 c) 37 to 39 d) 39 to 41 e) Above 41 5) For the first image in the test data, in what range is the mean distance between this image and its 5 nearest neighbors that were labeled ‘dog’ in the training data? a) 33 to 35 b) 35 to 37 c) 37 to 39 d) 39 to 41 e) Above 41 6) On average, is the first image in the test data closer to its 5 nearest neighbors in the ‘cat’ data or in the ...

1) Which of the following statements are true? (Check all that apply) a) Linear classifiers are never useful, because they cannot represent XOR. b) Linear classifiers are useful, because, with enough data, they can represent anything. c) Having good non-linear features can allow us to learn very accurate linear classifiers. d) none of the above 2) A simple linear classifier can represent which of the following functions? (Check all that apply) Hint: If you are stuck, see https://www.coursera.org/learn/ml-foundations/module/nqC1t/discussions/AAIUurrtEeWGphLhfbPAyQ a) x1 OR x2 OR NOT x3 b) x1 AND x2 AND NOT x3 c) x1 OR (x2 AND NOT x3) d) none of the above 3) Which of the the following neural networks can represent the following function? Select all that apply. (x1 AND x2) OR (NOT x1 AND NOT x2) Hint: If you are stuck, see https://www.coursera.org/learn/ml-foundations/module/nqC1t/discussions/AAIUurrtEeWGphLhfbPAyQ d 4) Which of the following statements is true? (Che...

1) Top word count words for Elton John (the, john, singer) (england, awards, musician) ( the, in, and) (his, the, since) (rock, artists, best) 2) Top TF-IDF words for Elton John (furnish,elton,billboard) (john,elton,fivedecade) (the,of,has) (awards,rock,john) (elton,john,singer) 3) The cosine distance between 'Elton John's and 'Victoria Beckham's articles (represented with TF-IDF) falls within which range? 0.1 to 0.29 0.3 to 0.49 0.5 to 0.69 0.7 to 0.89 0.9 to 1.0 4) The cosine distance between 'Elton John's and 'Paul McCartney's articles (represented with TF-IDF) falls within which range? 0.1 to 0.29 0.3 to 0.49 0.5 to 0.69 0.7 to 0.89 0.9 to 1 5) Who is closer to 'Elton John', 'Victoria Beckham' or 'Paul McCartney'? Victoria Beckham Paul McCartney 6) Who is the nearest neighbor to 'Elton John' using raw word counts? Billy Joel Cliff Richard Roger Daltrey George Bush 7) Who is ...

1. The simple threshold classifier for sentiment analysis described in the video (check all that apply): a) Must have pre-defined positive and negative attributes b) Must either count attributes equally or pre-define weights on attributes c) Defines a possibly non-linear decision boundary 2. For a linear classifier classifying between “positive” and “negative” sentiment in a review x, Score(x) = 0 implies (check all that apply): a) The review is very clearly “negative” b) We are uncertain whether the review is “positive” or “negative” c) We need to retrain our classifier because an error has occurred 3. For which of the following datasets would a linear classifier perform perfectly? b 4. True or false: High classification accuracy always indicates a good classifier. a) True b) False 5.  True or false: For a classifier classifying between 5 classes, there always exists a classifier with accuracy greater than 0.18. a) True b) False 6. True or false: A fals...