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NEW QUESTION 32
Given the following confusion matrix for a movie classification model, what is the true class frequency for Romance and the predicted class frequency for Adventure?

A. The true class frequency for Romance is 57.92% and the predicted class frequency for Adventure is
13.12%B. The true class frequency for Romance is 77.56% * 0.78 and the predicted class frequency for Adventure is
20.85%*0.32C. The true class frequency for Romance is 0.78 and the predicted class frequency for Adventure is (0.47-
0.32)D. The true class frequency for Romance is 77.56% and the predicted class frequency for Adventure is
20.85%

Answer: A

 

NEW QUESTION 33
An e-commerce company needs a customized training model to classify images of its shirts and pants products The company needs a proof of concept in 2 to 3 days with good accuracy Which compute choice should the Machine Learning Specialist select to train and achieve good accuracy on the model quickly?

A. p3 8xlarge (GPU accelerated computing)B. r5.2xlarge (memory optimized)C. p3.2xlarge (GPU accelerated computing)D. . m5 4xlarge (general purpose)

Answer: C

 

NEW QUESTION 34
A Machine Learning Specialist is implementing a full Bayesian network on a dataset that describes public transit in New York City. One of the random variables is discrete, and represents the number of minutes New Yorkers wait for a bus given that the buses cycle every 10 minutes, with a mean of 3 minutes.
Which prior probability distribution should the ML Specialist use for this variable?

A. Binomial distributionB. Uniform distributionC. Normal distributionD. Poisson distribution ,

Answer: D

 

NEW QUESTION 35
A Data Scientist is working on an application that performs sentiment analysis. The validation accuracy is poor and the Data Scientist thinks that the cause may be a rich vocabulary and a low average frequency of words in the dataset Which tool should be used to improve the validation accuracy?

A. Scikit-learn term frequency-inverse document frequency (TF-IDF) vectorizersB. Amazon SageMaker BlazingText allow modeC. Natural Language Toolkit (NLTK) stemming and stop word removalD. Amazon Comprehend syntax analysts and entity detection

Answer: D

 

NEW QUESTION 36
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