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The Top Artificial Intelligence Interview Questions

  • Post published:December 24, 2020

If you’re looking for some of the top Artificial Intelligence Interview Question then you’re at the right place!

It’s true that Artificial Intelligence is a buzzing field where we see a lot of potential in the job market. The world is moving at a fast pace when it comes to Artificial Intelligence and its implementation we can see that it will take over many jobs in the coming future. We’re assuming that you have already cleared coding tests or programming language tests as they are a prerequisite of AI.

The Top Artificial Intelligence Interview Question:

If you’re looking to ace your job interview, then you must get a good understanding of the following questions as it’s highly likely that you’ll be probed about them:

1) What is the difference between AI & ML?

There’s a lot of confusion between AI & ML for most AI developers and some even use the terms as interchangeable. However, there’s a big difference between the two. AI refers to the area of computer science that deals with stimulating intelligence in machines or devices. This intelligence is human-like. On the other hand, Machine Learning falls under AI and refers to the ability of machines to learn for themselves through data. This is one of the top Artificial Intelligence Interview Question and you should be prepared thoroughly.

2) What are the most popular programming languages used in AI?

Python is an open-source programming language that is currently the most popular in the world of AI. AI developer use this programming language simply because it has predictable coding behavior. Also, the fact that it has open-source libraries such as Matplotlib and efficient frameworks such as Scikit-learn. All of these are open source and helpful for an AI engineer. Java & Julia are also popular after Python in Artificial intelligence.

3) Explain the Difference between Strong AI & Weak AI?

A basic question, Strong AI can be defined as AI that can imitate human intelligence holistically. Strong AI has wide applications and scope as it uses human-level intelligence through processing data through clustering and association.

Whereas, Weak AI is only able to predict specific characteristics that are relevant to human intelligence. It’s great to perform simple tasks and the scope is also minimal. Alexa is a perfect example for weak AI.

4) What are the Properties of a Good Knowledge Representation System?

A Good Knowledge Representation System has the following things:

  • Acquisition Efficiency: In order to acquire and use new Data
  • Representation Accuracy: In order to represent knowledge in a given domain
  • Inferential Adequacy: In order to derive knowledge structures when new knowledge is learned from old knowledge.
  • Inferential Efficiency: In order to add data into existing knowledge structures so that inference processes can be implemented.

5) What are some of the Disadvantages of liner models?

The following are some of the disadvantages of using linear models:

  • Linear models lack auto-correlation
  • Binary outcomes can’t be calculated through liner models
  • Errors in linearity assumption are quite common.

6) Explain the Characteristics of Elements in a List and a Dictionary?

Elements in a List:

The elements in a list maintain their order unless they are commanded to re-order. Even if they are commanded to re-order, there will be a certain order that they maintain. Elements in a list can be made up of all major data types that can be the same or mixed. However, in order to access the elements you will have to do it through numeric or zero based indices.

Elements in a Dictionary:

On the other hand, in a dictionary the order isn’t maintained but all the elements that make an entry are assigned a certain value and key. So, each element must have an individual key and that key can be used to access a certain element.

Hence every time you have a set of keys that are unique, it means you need to use a dictionary. Whereas, whenever you see elements in an order then you need to use a list.

7) What is the Role of Random Forest in AI?

A Random Forest can be seen as a data construct in AI. It’s primary purpose is to look at algorithms that can be used to improve the technology that uses large data sets in AI. Basically, a forest of multiple weak AI’s when joined together can be used to make stronger AI. Hence, Random Forest is a flexible machine learning algorithm that combines a wide range of Weak AI’s to formulate something stronger. It is normally used for classification and regression tasks.

In a Nutshell:

Artificial Intelligence Interview questions can get tough for both, the interviewer and the interviewee. AI is a field that is continuously changing and is extremely complex. If you’re looking to hire an AI developer, then it’s absolutely essential that you look at experience and programming skills on top of Artificial Intelligence Interview Question.

If you’re looking to hire AI developer, then give us a call today as we have hands on developers when it comes to developing AI applications!