Artificial Intelligence Interview Questions

LIST OF  Artificial Intelligence Interview Questions

1.LIST Common Uses and Applications of Artificial Intelligence?

Possibilities include  object detection,contract analysis and classification for  navigation and avoidance , image recognition, content- distribution, predictive maintenance, data processing, automation of manual tasks, and data driven reporting.

2. What are Intelligent Agents? How  They  are used in AI?

Intelligent agents are the autonomous entities that uses sensor to know what is going on, and  use actuators to perform their tasks/ goals. They can be complex  or simple and can be programmed to accomplish their jobs better.

3. What is meant by Tensorflow, and What is Tensorflow  Used For?

Tensorflow is  open-source software library  was initially developed by  Google Brain Team to use in  neural networks research and machine learning . It is used for  the data-flow programming.  Using Tensor Flow   to build the certain AI features into applications become easier, including operations like  speech recognition and Natural language processing.

4. What is meant by  Machine Learning, and How can It Relate to AI?

Machine learning is  subset of AI. The idea  of machine learning is machines will “learn” and get better at tasks over  the time rather than having humans  to input parameters. Machine learning is  more practical application of AI.

5. Describe Neural Networks and How  they Relate to AI?

Neural networks are the  class of machine learning algorithms. They are   part of the neural   computational component, and their network part is how the neurons are being connected with. Neural networks pass  data among them, gathering more and more as the data moves in and along. Because  the networks are interconnected with more complex data ,which  can process more efficiently.

6. What is Deep Learning? Does It Relate to AI?

Deep learning can be explined as subset of the machine learning. Refers to  multi-layered neural networks to process the data in increasingly  ways, enabling  software to guide  itself to perform task like image  and speech recognitions through exposure to numerous amounts of data for continual improvement  to recognize and process information. Layers of the neural networks stacked up  on the top of each for use in   deep learning are called deep neural networks.

7. Why Image Recognition is a Key Function of AI?

Humans are visual, and AI  designed to emulate human brains. Teaching machines to recognize and categorize images is  crucial part of AI. Image recognition also helps the machines to learn  because the more images that are processed, are the better the software gets  recognizing and processing those images.

8. What is meant by Automatic Programming?

Automatic programming  describing what can a program should do, and  having the AI system “write” the program.

9. What is a Bayesian Network, and How Does Bayesian  Relate to AI?

A Bayesian network is graphical model for the probabilistic relationships among a set of variables. Alsomimics the human brain in processing various  variables.

10. What are the Constraint Satisfaction Problems?

Constraint Satisfaction Problems (CSPs) are the mathematical problems defined as  set of objects, the state  which must meet several constraints. CSPs are mostuseful for AI because the regularity of their formulation offers commonality for analyzing and solving the problems.


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