Quiz 3 – How AI Works? Data & Features (8 Questions) – Artificial Intelligence Learning Center

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Question 1 of 8

1. Question
Q1. Data is the raw ingredient of an AI brain (AI Model). Data provides the AI brain with many examples to learn from.
- True
- False
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Question 2 of 8

2. Question
Q2. What are the key ingredients of AI? (Your answers can be more than one)
- Data
- Prediction
- Learning Algorithms
- Neural Network
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Question 3 of 8

3. Question
Q3. Which of the following statement is not true?
- For any AI project, data must be collected or made available before an AI brain can be built..
- The input data can be in any digital form and formats such as images, videos, audios, notes, customer’s buying behavior, etc.
- The combination of data and the learning algorithm creates an artificial brain that can make predictions.
- For an AI model, the ability to make accurate predictions depends only on the quality and quantity of the data collected.
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Question 4 of 8

4. Question
Q4. The unique characteristics of something is called ____
- Data
- Features
- Inputs
- Labels
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Question 5 of 8

5. Question
Q5. The predicted category or value of the data (column to predict) is called ____.
- Data
- Features
- Samples
- Labels
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Question 6 of 8

6. Question
Q6. Which of the following is a good dataset characteristic? (Your answers can be more than one)
- Large enough to yield meaningful results.
- Contain important features and correct labels of something that you would like to predict.
- Contain as little errors as possible.
- None of the above
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Question 7 of 8

7. Question
Q7. In Machine Learning, we call the process of tagging the correct labels of the prediction output corresponding to the input data – “Data Labeling” process.
- True
- False
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Question 8 of 8

8. Question
Q8. Which of the following statement is not true?
- A typical dataset of an AI project is technically just a table consisting many rows of data entries.
- For each row of data entry, it consists of the numerical values representing the input features and the category (or value) of the output label.
- Each row of data entry represents one sample of data collected by the engineer of the project.
- The prediction accuracy of the AI model only depends on the size of the dataset that it was trained-on
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Quiz 3 – How AI Works? Data & Features (8 Questions)

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