A.I. Interview Questions and Answers
Here you will learn about the latest frequently asked Interview questions related to Artificial Intelligence.
More info related to AI Interview questions
Q : What is Artificial Intelligence?
Artificial Intelligence (AI) is that which deals with building systems to show intelligence It typically triggers images in our heads of artificial general intelligence, for example, I only used to describe more narrow, but still very impressively, In Applied Artificial Intelligence there's a Program that plays Chess or defects credit card fraud, and so far machine learning showed up the most promise able and the most common way of developing AI.
Q : What is artificial intelligence Neural Network?
In Information Technology ANN is a combined system of hardware and software patterned after the operations of neurons in human brains.
Neural networks are notable for being adaptive which means they can modify themselves with that knowledge or information which is continuously storing regularly from the training and subsequent runs provide more information about the world.
Q : What are the advantages of artificial intelligence?
Advantages of artificial neural networks include:
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All the information is stored on a network.
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No restrictions are placed on the input variables, such as how they should be distributed.
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The ability to generalize and infer unseen relationships on unseen data means ANNs can predict the output of unseen data.
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You can learn from events and make decisions based on the observations.
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Parallel processing abilities mean the network can perform more than one job at a time.
Q : What are the disadvantages of artificial intelligence?
Disadvantages of artificial neural networks include:
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The lack of rules for determining the proper network structure means the appropriate ANN architecture can only be found through trial and error and experiences.
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The requirement of processors with parallel processing abilities makes neural networks hardware dependent.
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The network works with numerical information, therefor all problems must be translated into numerical values before they can be presented to the ANN.
Q : Name some of the artificial intelligence applications?
Image recognition is one of the first areas but technology expanded to many more areas, including:
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Chatbots
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Natural language processing, translation and language generation
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Stock market prediction
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Drug discovery
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Driver delivery route planning.
All the information is stored on a network.
No restrictions are placed on the input variables, such as how they should be distributed.
The ability to generalize and infer unseen relationships on unseen data means ANNs can predict the output of unseen data.
You can learn from events and make decisions based on the observations.
Parallel processing abilities mean the network can perform more than one job at a time.
The lack of rules for determining the proper network structure means the appropriate ANN architecture can only be found through trial and error and experiences.
The requirement of processors with parallel processing abilities makes neural networks hardware dependent.
The network works with numerical information, therefor all problems must be translated into numerical values before they can be presented to the ANN.
Chatbots
Natural language processing, translation and language generation
Stock market prediction
Drug discovery
Driver delivery route planning.
Any questions? You can find me at codingtag.com
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