Robotics & Artificial Intelligence
Which is true for data in machine learning from the following options?
- Data is not important in machine learning.
- Data is used to train models and make predictions.
- Data is used to program machines and computers.
- Data is irrelevant in the decision-making process of machines.
Decision making in Machines
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Answer
Data is used to train models and make predictions.
Reason — In machine learning, data works as the input for training algorithms. By analysing data, the model learns patterns and later uses this learning to make predictions and decisions.
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Related Questions
Which of the following is an example of autonomous system?
- A refrigerator
- A washing machine
- A robot that assembles cars on an assembly line
- None of these
Which of the following best defines human decision-making?
- Rule-based and objective
- Subjective and rule-based
- Adaptive and objective
- Adaptive and subjective
Which of these is an example of a subjective decision?
- Deciding which fruit to buy at the grocery store
- Deciding whether to turn on the air conditioner or not
- Deciding whether to invest in a stock
- All of the above
What is the main goal of object classification by humans and machines/computers?
- To identify objects based on their characteristics
- To determine the weight and dimensions of objects
- To predict the future behaviour of objects
- To identify the historical significance of objects