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.