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Course Content Quiz

Authored by mohesh chandran

Computers, Other

Professional Development

Used 3+ times

Course Content Quiz
AI

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30 questions

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1.

MULTIPLE SELECT QUESTION

45 sec • 1 pt

1. What is Machine Learning? (Choose 3 Answers)

Artificial Intelligence

Machine Learning

Data Statistics

Deep Learning

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Deep Learning is a subfield of Machine Learning

TRUE

FALSE

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Artificial Intelligence is superset of ________________ & _____________________

Machine Learning & Neural Networks

Machine Learning & Deep Learning

Deep Learning & Neural Networks

4.

MULTIPLE SELECT QUESTION

2 mins • 1 pt

Which of the following statements are incorrect. (choose 3 option)

Reinforcement Learning is also an unsupervised learning

Having human in the loop is not necessary especially when the data are getting bigger because it will cost more and AI helps to be more cost-effective

Supervised learning is a complex method compared to unsupervised learning

Regression has continuous output variable that makes it a part of unsupervised learning

All of the above

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the statements are true

AI can recognize handwriting really well

AI can recognize words spoken in accents

AI can visually describe an image

AI can perform multiple robotic tasks at once

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The steps: definition, value, stakeholders, priority & investment corresponds to which of the following stages of AI approach

Data

Business Case

Deploy & Measure

Active Learning & Tuning

7.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

What is the correct steps would you work to gauge the effectiveness of a machine learning model?

I – You make decision and apply necessary changes from the obtained metrics.

II – You use measures such as the F1 score, the accuracy, and the confusion matrix.

III – You implement a choice selection of performance metrics.

IV – You would split the dataset into training and test sets, or perhaps use cross-validation techniques to further segment the dataset into composite sets of training and test sets within the data.

I, II, III, IV

IV, III, II, I

I, III, II, IV

IV, II, III, I

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