Question No 1

A new test to diagnose a disease is evaluated on 1152 people, and 106 people have the disease, and 1046 people do not have the disease. The test results are summarized below:

In this sample, how many cases are false positives and false negatives?

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Question No 2

What is the goal of the backpropagation algorithm?

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to randomize the trajectory of the neural network parameters during training

to smooth the gradient of the loss function in order to avoid getting trapped in small local minimas

to scale the gradient descent step in proportion to the gradient magnitude

to compute the gradient of the loss function with respect to the neural network parameters

Question No 3

With the help of AI algorithms, which type of analytics can help organizations make decisions based on facts and probability - weighted projections?

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Question No 4

What is the technique called for vectorizing text data which matches the words in different sentences to determine if the sentences are similar?

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Question No 5

Which statement is true in the context of evaluating metrics for machine learning algorithms?

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A random classifier has AUC (the area under ROC curve) of 0.5

Using only one evaluation metric is sufficient

The F - score is always equal to precision

Recall of 1 (100%) is always a good result

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