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C1000-059 Practice Questions

C1000-059 Practice Questions

Question# 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?

Question# 2

What is the goal of the backpropagation algorithm?

Question# 3

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

Question# 4

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

Question# 5

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

Note:

Related Exams Questions

C1000-059 Practice Questions

C1000-059 Practice Questions

Question# 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?

Question# 2

What is the goal of the backpropagation algorithm?

Question# 3

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

Question# 4

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

Question# 5

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

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Related Exams Questions

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?