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Coincent Artificial Intelligence Intern Interview Questions and Answers

Updated 8 Aug 2024

Coincent Artificial Intelligence Intern Interview Experiences

1 interview found

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via LinkedIn and was interviewed before Aug 2023. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. What is narrow ai
  • Ans. 

    Narrow AI refers to AI systems that are designed for a specific task or narrow range of tasks.

    • Narrow AI is also known as weak AI.

    • These systems are not capable of general intelligence or understanding beyond their specific task.

    • Examples of narrow AI include virtual assistants like Siri or Alexa, recommendation algorithms on streaming platforms, and self-driving cars.

  • Answered by AI
  • Q2. What is the difference between deep learning and machine learning
  • Ans. 

    Deep learning is a subset of machine learning that uses neural networks to model and solve complex problems.

    • Deep learning involves neural networks with multiple layers to learn complex patterns and representations.

    • Machine learning uses algorithms to learn patterns and make predictions based on data.

    • Deep learning requires large amounts of data and computational power compared to traditional machine learning techniques.

    • E...

  • Answered by AI
Round 2 - HR 

(2 Questions)

  • Q1. Introduce yourself
  • Ans. 

    I am a passionate and driven individual with a strong interest in artificial intelligence and machine learning.

    • Completed coursework in machine learning and deep learning

    • Participated in AI research projects

    • Proficient in programming languages like Python and R

  • Answered by AI
  • Q2. Topic discussion

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
Not Selected
Round 1 - Assignment 

Had to complete videos

Round 2 - Technical 

(1 Question)

  • Q1. Use of ai in real life
  • Ans. 

    AI is used in real life for various applications such as virtual assistants, recommendation systems, autonomous vehicles, and fraud detection.

    • Virtual assistants like Siri, Alexa, and Google Assistant use AI to understand and respond to user queries.

    • Recommendation systems on platforms like Netflix and Amazon use AI to suggest personalized content based on user preferences.

    • Autonomous vehicles use AI for navigation, objec...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Luck matters

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Easy
Process Duration
-
Result
Selected Selected

I applied via Campus Placement

Round 1 - Aptitude Test 

It was a campus placement during my second year of Mtech. So they followed the usual standard format. Aptitude and personality quiz.

Round 2 - Technical 

(1 Question)

  • Q1. Tell me about yourself favourite subject Python Libraries Projects Data science (NLP)
Round 3 - HR 

(1 Question)

  • Q1. The usual tell me about yourself and some casual conversation.
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Asked various ai related basic questions, algorithms and basics of python.
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Not Selected

I applied via Company Website and was interviewed in Jun 2024. There were 3 interview rounds.

Round 1 - Technical 

(3 Questions)

  • Q1. Over fitting and underfitting ?
  • Q2. What is P value and what is its significance?
  • Ans. 

    P value is a statistical measure that helps determine the significance of results in hypothesis testing.

    • P value is the probability of obtaining results as extreme as the observed results, assuming the null hypothesis is true.

    • A small P value (typically ≤ 0.05) indicates strong evidence against the null hypothesis, leading to its rejection.

    • A large P value (> 0.05) suggests weak evidence against the null hypothesis, leadi...

  • Answered by AI
  • Q3. Explain your projects. Explain about RAG
Round 2 - Coding Test 

Write a code to reverse a list. Write a code to add value to a dataframe and edit the value in data frame

Round 3 - One-on-one 

(2 Questions)

  • Q1. Tell about yourself.
  • Q2. Explain projects. How much will you rate yourself in technical knowledge

Interview Preparation Tips

Interview preparation tips for other job seekers - try to answer question in detail. Try to understand what actually they are looking for.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via LinkedIn and was interviewed in Aug 2023. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Basic Computer Vision questions
  • Q2. What is convolution
  • Ans. 

    Convolution is a mathematical operation that combines two functions to produce a third function.

    • Convolution involves sliding one function over another and multiplying the overlapping values at each point.

    • It is commonly used in signal processing, image processing, and neural networks.

    • In image processing, convolution is used for tasks like blurring, sharpening, edge detection, etc.

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Company Website and was interviewed before Dec 2023. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. What algorithm to use for an Imbalanced dataset
  • Q2. How to balance precision and recall

I applied via Naukri.com and was interviewed in Oct 2022. There were 4 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Aptitude Test 

Number,ratio,speed&distance,game based questions

Round 3 - Technical 

(1 Question)

  • Q1. Oops concept and all above in java questions
Round 4 - HR 

(1 Question)

  • Q1. Self introduction HR all question

Interview Preparation Tips

Interview preparation tips for other job seekers - Thank you
please encourage freshers
keep going & more interesting topics
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

It was a Basic python test

Round 2 - Assignment 

Write program for ocr to extract text from images

Interview experience
4
Good
Difficulty level
Easy
Process Duration
-
Result
Selected Selected

I applied via Campus Placement

Round 1 - Aptitude Test 

It was a campus placement during my second year of Mtech. So they followed the usual standard format. Aptitude and personality quiz.

Round 2 - Technical 

(1 Question)

  • Q1. Tell me about yourself favourite subject Python Libraries Projects Data science (NLP)
Round 3 - HR 

(1 Question)

  • Q1. The usual tell me about yourself and some casual conversation.

Coincent Interview FAQs

How many rounds are there in Coincent Artificial Intelligence Intern interview?
Coincent interview process usually has 2 rounds. The most common rounds in the Coincent interview process are Technical and HR.
What are the top questions asked in Coincent Artificial Intelligence Intern interview?

Some of the top questions asked at the Coincent Artificial Intelligence Intern interview -

  1. what is the difference between deep learning and machine learn...read more
  2. what is narrow...read more
  3. Topic discuss...read more

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