Aug 14, 2018 
671.1k
23
NovDiwali Deal : Flat 20% off + 2 free self-paced courses + Free Ebook + $200 Voucher - SCHEDULE CALL
- Artificial Intelligence Blogs -
What was once considered one of the most extraordinary imaginations of various science fiction writers, Artificial Intelligence (AI) is now being slowly infused into our daily lives. This advanced form of technology is taking a prominent shape in terms of practicality and has already started creating a propounding impact in various beguiling ways.
The demand for professionals in the Field of AI is increasing day by day. Whether you are planning to make a career switch to the AI domain or you want to move up your existing AI job profile, the future always looks bright. This also leads to a considerable increase in competition to be placed in a well-defined AI oriented job profile. So, it's mandatory for you to always be prepared ahead of time for all the major AI job interview questions.
We are here to help you out with the most commonly asked questions during an Artificial Intelligence interview. By going through these questions and answers, you can not only have a fair idea about the various questions that you will be asked, but you can showcase your interviewers, your broader knowledge of the applications and implications of AI.
AI is an area in the field of computer science, which emphasis on the implication of the human brain's cognitive functions into a machine/system, thereby making it work and act like humans. Some of the activities that can be carried out using computers infused with AI include:
AI has a wide scope for implementation and it can be practically applied in fields of extreme diversity such as:
Read: Future of Artificial Intelligence: A journey towards Creativity & Innovation
Artificial intelligence can be classified into two main categories:
The Fuzzy logic system has the following key advantages:
Alternate Key: All the candidate keys except the primary keys are known as Alternate Keys.
Artificial Key: Creating a key artificially by assigning a number to individual record, in the absence of a standalone key.
Read: Top 12 Real-World Applications of AI to Prepare You for Future
Compound Key: Integration of various elements to generate an exceptional identified, in the absence of any data elements that specifically defines the subsistence within a construct.
The difference can be the best explained using the following diagram:
| Types------> | Supervised Learning | Unsupervised Learning | Reinforcement Learning |
| Definition | Training set has both predictors and predictions | Training set has only predictors in the data set. | They can establish state of art results on any task |
| Algorithm | Linear and logistic regression, support vector machine, native Bayes | K-means, clustering algorithm, dimensionality reduction algorithm | Q-learning, State-action-reward-state-action (SARSA), Deep Q Network (DQN) |
| Uses | Image recognition, Speech, Recognition, Forecasting | Pre-Process the data, Pre-train Supervised Learning algorithm. | Warehouses, Inventory Management, Delivery Management, Power system financial, system |
Artificial intelligence system makes use of the game theory for the purpose of enhancement as the requirement is always more than one participant. Hence, the relation between game theory and AI can be explained using the following two points:
FOPL is the abbreviation for First-order Predicate logic, which is a congregation of formal systems, with the statement being divided into two parts: a predicate and a subject. The predicate holds the potential to define or modify the subject's properties. 
We would require the following parts in order to construct a robot:
Read: What is Generative AI and How it can Help you!
Annealing is basically the process is of heating a metal and then immediately cooling it to make changes to its internal structure. The same principle is applied in computing where a probabilistic technique is put into practical use for the approximation of a given function's global optimum.
This is the algorithm process where the node closest to the goal will be expanded first. The default explanation of nodes goes by f(n) = h(n). This technique is applied at a later stage, where priority queue will come into the picture.
Well, the answer to this question varies based on your work experience and projects you have worked on earlier.
These above-mentioned lists contain the general questions that you might encounter in an Artificial intelligence job interview. You can also do in some further research in your area of interest to gain more confidence for the same. But Always ensure to collect enough information about the company before going in for an interview.
We wish you for your next interview with JanBask Training or explore your knowledge base with our AI certification programs and the assistance given by AI mentors. Happy job hunting!
Read: 7 Major Types of AI That Can Enhance Your Decision-Making
FaceBook
Twitter
LinkedIn
Pinterest
Email
A dynamic, highly professional, and a global online training course provider committed to propelling the next generation of technology learners with a whole new way of training experience.
Cyber Security
QA
Salesforce
Business Analyst
MS SQL Server
Data Science
DevOps
Hadoop
Python
Artificial Intelligence
Machine Learning
Tableau
Search Posts
Related Posts
The Journey to Becoming an AI Expert: How Long Does it Take to Learn Artificial Intelligence?
4.5k
Top 12 Real-World Applications of AI to Prepare You for Future
4.3k
Why should You Learn Artificial Intelligence? A Comprehensive Overview of AI
7.7k
How to Become an Artificial Intelligence (AI) Engineer in 2024
286
How Artificial Intelligence Can Help To Boost Your Career?
4.7k
Receive Latest Materials and Offers on Artificial Intelligence Course
Interviews
Jan 04, 2023
4.5k
