Robotics & Artificial Intelligence
Identify the steps in machine learning for teaching a machine to make decisions.
- Collecting data → programing
- Collecting data → training → testing predictions
- Programing for every move
- Programing without any data
Decision making in Machines
1 Like
Answer
Collecting data → training → testing predictions
Reason — In machine learning, a machine is taught to make decisions by first collecting data, then training the model using that data, and finally testing its predictions to evaluate performance.
Answered By
1 Like
Related Questions
…………… is an example of an external non-contact sensor used in robotics.
- Temperature sensor
- Position sensor
- Proximity sensor
- Force sensor
The Turing test is conducted between …………… .
- two computer programs
- an AI machine and a human
- two humans
- two AI machines
Assertion (A): Autonomous systems can make decisions based on probabilistic data, whereas automated systems follow deterministic rules.
Reason (R): Autonomous systems rely on predefined rules and algorithms, while automated systems use real-time data to make decisions.
- Both (A) and (R) are true and (R) is the correct explanation for (A).
- Both (A) and (R) are true but (R) is not the correct explanation for (A).
- (A) is true but (R) is false.
- (A) is false but (R) is true.
Who proposed the Turing test?
- Allen Turing
- Charles Babbage
- John won Newman
- Isaac Newton