Artificial Intelligence Interview Questions and Answers

In this article, we’ll see Artificial Intelligence Interview Questions and Answers.

In today’s fast-paced world, Artificial Intelligence (AI) has emerged as a transformative force across various industries. As organizations embrace AI to revolutionize their operations, the demand for skilled AI professionals is skyrocketing. Whether you’re a seasoned AI expert or an aspiring AI enthusiast, acing an Artificial Intelligence Interview Questions requires thorough preparation and a deep understanding of key concepts.

To help you navigate this daunting task, we have curated a list of unique and thought-provoking Artificial Intelligence Interview Questions that will put your knowledge and problem-solving abilities to the test.

Artificial Intelligence Interview Questions

See below for Artificial Intelligence Interview Questions and answers:

1. What is Artificial Intelligence?

Artificial Intelligence is a field of computer science wherein the cognitive functions of the human brain are studied and tried to be replicated on a machine/system. Artificial Intelligence is today widely used for various applications like computer vision, speech recognition, decision-making, perception, reasoning, cognitive capabilities, and so on.

2. What are AI neural networks?

  1. Neural networks in AI mathematically model how the human brain works. This approach enables the machine to think and learn as humans do. This is how smart technology today recognizes speech, objects, and more.  

3. What are some examples of AI in use?

Some compelling examples of AI applications are:

  • Chatbots
  • Facial recognition
  • Image tagging
  • Natural language processing
  • Sales prediction
  • Self-driving cars
  • Sentiment analysis

4. What are the different types of AI?

  • Reactive Machines AI: Based on present actions, it cannot use previous experiences to form current decisions and simultaneously update its memory.
    Example: Deep Blue
  • Limited Memory AI: Used in self-driving cars. They detect the movement of vehicles around them constantly and add it to their memory.
  • Theory of Mind AI: Advanced AI that has the ability to understand emotions, people, and other things in the real world.
  • Self Aware AI: AIs that possess human-like consciousness and reactions. Such machines have the ability to form self-driven actions.
  • Artificial Narrow Intelligence (ANI): General purpose AI, used in building virtual assistants like Siri.
  • Artificial General Intelligence (AGI): Also known as strong AI. An example is the Pillo robot that answers questions related to health.
  • Artificial Superhuman Intelligence (ASI): AI that possesses the ability to do everything that a human can do and more. An example is the Alpha 2 which is the first humanoid ASI robot.

5. List the different algorithm techniques in Machine Learning.

  • Supervised Learning
  • Unsupervised Learning
  • Semi-supervised Learning
  • Reinforcement Learning
  • Transduction
  • Learning to Learn

6. What is Naive Bayes?

The naive Bayes Machine Learning algorithm is a powerful algorithm for predictive modeling. It is a set of algorithms with a common principle based on the Bayes Theorem. The fundamental Naive Bayes assumption is that each feature makes an independent and equal contribution to the outcome.

7. What is perceptron in Machine Learning?

Perceptron is an algorithm that is able to simulate the ability of the human brain to understand and discard; it is used for the supervised classification of the input into one of the several possible non-binary outputs.

9. List the extraction techniques used for dimensionality reduction.

  • Independent component analysis
  • Principal component analysis
  • Kernel-based principal component analysis

10. Which is better for image classification? Supervised or unsupervised classification? Justify.

  • In supervised classification, the images are manually fed and interpreted by the Machine Learning expert to create feature classes.
  • In unsupervised classification, the Machine Learning software creates feature classes based on image pixel values.

 

Artificial Intelligence is an ever-evolving field with immense possibilities and challenges. Preparing for Artificial Intelligence Interview Questions requires not only a solid understanding of the fundamental concepts but also the ability to think critically and apply knowledge to real-world scenarios.

By exploring the unique Artificial Intelligence Interview Questions discussed above, you’ll be better equipped to demonstrate your expertise, problem-solving skills, and passion for AI. Remember, every interview is an opportunity to learn and grow, so embrace the process with enthusiasm, confidence, and an insatiable curiosity to unlock the doors of AI success.

I hope this article helps you with Artificial Intelligence Interview Questions and Answers to interviews

Last updated on May 21st, 2023.