Why is test data necessary in current artificial intelligence research - can som
ID: 3777830 • Letter: W
Question
Why is test data necessary in current artificial intelligence research - can someone give me a brief and some pros/cons on this . Thanks
Here are some examples if you do not understood my question - e.g. why the artificial intelligence researchers need it ? what is lacking in the test data? why the test data is important to artificial intelligence ? why is the test data necessary? why the current AI research require test data? could talk about the self driving cars? Hope that sum up my question.
Explanation / Answer
Why the artificial intelligence researchers need it?
Answer:
In AI the test data is vector set which is used together in supervised and reinforcement learning to train the machine to act properly and according to the state of scenario in live world.
So Why researchers need it, the reason is simple by having the test sets or test data the researchers can create a virtual environment for the machine which eases the machine learning and also optimize the design level of machine schema because the required mistakes will be execute by the machine in that Virtual environment only not in the real world.
What is lacking in the test data?
Answer:
Though it is known that Artificial Intelligence was born in 1945 but due to very slow advancement in the area and also slow acceptance of the AI machines by humans causes to be dataset of test input to be very small and also it is interesting to know that from 1000 engineers we only have 1 or 2 engineers in AI which also causes the lack of experienced researchers which causes a lot chances of committing mistakes and due to this lack of test data is available because of lack of anticipation in inexperienced researchers.
Why the test data is important to artificial intelligence ?/ Why is the test data necessary?
Answer:
Test data will let researchers to know how the machine will react to stimuli in live environments and will also ensures that the machine meets all the speaks defined for the machine definition.
Self Driving using AI:
About 20 years ago remote control of car drive was only a dream which AI let the engineers to draw in real life.
Self driving is a live example of reinforcement learning, in which the automated system of car learns from the live scenario.
Now car machine requires three things for AI:
By having smart sensors the car will detect the jerks on the road very well and will also provides the smooth drive to the passengers.
Internet of Things will let the cars to interact with each other in case of emergency brakes IoT will let other car to know about what is happening in the successive car.
By having Turing Test the cars will be able to detect if someone is entering in the secured data transmission between cars
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