Freshers Interview Questions with Answers on Artificial Intelligence
The most common interview questions asked for an Engineers on Artificial Intelligence are:
- What is Artificial Intelligence?
Artificial intelligence (AI) is a branch of computer science that focuses on creating intelligent machines or computer systems that can mimic human intelligence. Artificial Intelligence-enabled machines can work and react like humans without the need for human intervention.
- What are some real-life applications of Artificial Intelligence?
Social Media: The most common use of Artificial Intelligence in social media is facial detection and verification. Artificial Intelligence, along with machine learning, is also used to design your social media feed.
Personalized online shopping: Shopping sites use AI-powered algorithms to curate the list of buying recommendations for users. They use data like users’ search history and recent orders to create a list of suggestions that users might like.
Agriculture: Technologies, especially Artificial Intelligence embedded systems, help farmers protect their crops from various adversities like weather, weeds, pests, and changing prices.
Smart cars: Smart cars are another one of the real-life applications of AI. Artificial intelligence collects data from a car’s radar, camera, and GPS to operate the vehicle when the autopilot mode is on.
Healthcare: Artificial Intelligence has come out as a reliable friend of doctors. From intelligent testing to medical recommendations, they assist medical professionals in every possible way.
- What are the programming languages used for Artificial Intelligence?
Python, LISP, Java, C++, R are some of the programming languages used for Artificial Intelligence.
- What are the types of Artificial Intelligence?
- What is the difference between Artificial Intelligence, Machine learning, and Deep learning?
- What are different types of Machine Learning?
Supervised Learning: Supervised learning is the easiest type of machine learning. It is used to train the machine with labeled data. Labeled data is a group of samples that have been tagged with one or more labels (information tags). The labeled data is fed to the machine one by one until the machine can recognize the data on its own. It is just like a teacher trying to teach a kid all kinds of labeled cards in a deck of cards one by one. The data itself is the teacher in supervised learning.
Unsupervised Learning: Unsupervised learning is, interestingly, the opposite of supervised learning. It is used for data with without labels or information tags. The algorithm is fed with a lot of data and tools to understand the properties of data. The machine will organize the data in clusters, classes, or groups in such a way that it can make sense. Taking a huge amount of random data as an input and making sense out of it is what makes this learning model brilliant.
Reinforcement learning: The reinforcement learning model from the above-mentioned learning models. It is a kind of model which learns from its mistakes. When we place a reinforcement learning model in any environment, it makes a lot of mistakes. We provide a positive feedback signal when the model performs well and a negative feedback signal when it makes errors, to promote positive learning and make our model efficient.
- What are the misconceptions about Artificial Intelligence?
Machines learn from themselves- The reality is far from the statement. Machines are not yet at that stage where they can make a decision on their own. Machines learn through a process called machine learning that enables systems to learn and develop based on their experiences without having to be explicitly programmed. Machine learning is concerned with the creation of computer programs that can access data and learn on their own.
Artificial Intelligence is the same thing as Machine learning- Artificial Intelligence and Machine learning differ from each other. Artificial Intelligence concerns itself with creating devices that can mimic human intelligence, while machine learning is a subset of artificial intelligence which is about creating programs that can analyze data, learn from it, and then make decisions.
Artificial Intelligence will take over humans- There is a possibility that the capabilities of AI can match or even surpass human intelligence in the near future. But, saying that AI will take over humans is just a work of fiction. AI is supposed to complement human intelligence, not enslave it.
1. M. Turing developed a technique that is used to test the intelligence of a machine. This technique is called-
a] Algorithm
b] Boolean Algebra
c] Turing Test
d] Deep Learning
2. Which of the following is a component of the expert system?
a] Knowledge Base
b] Inference Engine
c] User Interface
d] All of the above
3. Who is the ‘father’ of Artificial Intelligence?
a] Alan Turing
b] John McCarthy
c] Joseph Burner
d] Hans Neilson
4. The name of the machine that defeated the then World chess champion Garry Kasparov is-
a] Alpha zero
b] Stockfish
c] Big Frat
d] Deep Blue
5. Visual cues that are helpful in computer vision include-
a] height and weight
b] color and motion
c] depth and texture
d] a) and b) both
6. A computer system with AI cannot solve generic questions it is meant to solve-
a] True
b] False
c] A computer is not meant to solve problems
d] None of the above
7. What is Artificial Intelligence-
a] Put the human brain in a computer
b] Making machines intelligent
c] Artificially develop a brain
d] None of the above
8. The area of AI that deals with facilitating communications between humans and computers is-
a] Natural Language processing
b] Text mining
c] Symbol Processing
d] None of the above
9. Which of the following is not a type of machine learning-
a] Supervised learning
b] Unsupervised learning
c] Game theory
d] None of the above
10. An intelligent robot-
a] Responds to changes in the environment
b] Follows instructions
c] Can make intelligent decisions
d] All of the above
Answers: 1- c, 2- d, 3- b, 4- d, 5- d, 6- b, 7- b, 8- b, 9- c, 10- d