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Gilbert Research Center Interview Questions and Answers for Freshers
6 Interview questions
Different algorithms suit various types of raw data, impacting analysis and predictions.
1. Structured Data: Use algorithms like Linear Regression or Decision Trees. Example: Predicting house prices based on features.
2. Unstructured Data: Use NLP techniques or Convolutional Neural Networks (CNNs). Example: Image classification or sentiment analysis.
3. Time Series Data: Use ARIMA or LSTM models. Example: Stock price...
List is mutable, tuple is immutable in Python.
List can be modified after creation, tuple cannot.
List uses square brackets [], tuple uses parentheses ().
List is used for collections of items that may change, tuple for fixed collections.
Example: list - [1, 2, 3], tuple - (1, 2, 3)
Correlation measures the strength and direction of a linear relationship between two variables, while covariance measures the extent to which two variables change together.
Correlation ranges from -1 to 1, where -1 indicates a perfect negative linear relationship, 0 indicates no linear relationship, and 1 indicates a perfect positive linear relationship.
Covariance can take any value between negative infinity and po...
Correlation is a statistical measure that describes the extent to which two variables change together.
Correlation ranges from -1 to 1, with 1 indicating a perfect positive correlation, -1 indicating a perfect negative correlation, and 0 indicating no correlation.
Correlation does not imply causation, meaning just because two variables are correlated does not mean that one causes the other.
Examples of correlation in...
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.
Example: Convolutional Neural Networks (CNNs) use convolution layers to extract features from input data.
Machine learning algorithms are methods that enable computers to learn from data and make predictions or decisions.
Supervised Learning: Algorithms like Linear Regression and Decision Trees use labeled data for training.
Unsupervised Learning: Techniques such as K-Means Clustering and PCA find patterns in unlabeled data.
Reinforcement Learning: Algorithms like Q-Learning learn optimal actions through trial and error ...
Gilbert Research Center Interview Experiences for Freshers
6 interviews found
Anonymous
Selected
I applied via Naukri.com and was interviewed in Oct 2024. There was 1 interview round.
(2 Questions)
- Q1. Integers and equations
- Q2. Trigonometry and calculus
Interview Preparation Tips
P OM SHIVA
Selected
I appeared for an interview in Feb 2025, where I was asked the following questions.
- Q1. Basic probability and statistical question related to data science
- Q2. Python related question
- Q3. Machine learning different algorithm
- Ans.
Machine learning algorithms are methods that enable computers to learn from data and make predictions or decisions.
Supervised Learning: Algorithms like Linear Regression and Decision Trees use labeled data for training.
Unsupervised Learning: Techniques such as K-Means Clustering and PCA find patterns in unlabeled data.
Reinforcement Learning: Algorithms like Q-Learning learn optimal actions through trial and error in an...
- Q4. Which type of algorithm is suitable for which of raw data
- Ans.
Different algorithms suit various types of raw data, impacting analysis and predictions.
1. Structured Data: Use algorithms like Linear Regression or Decision Trees. Example: Predicting house prices based on features.
2. Unstructured Data: Use NLP techniques or Convolutional Neural Networks (CNNs). Example: Image classification or sentiment analysis.
3. Time Series Data: Use ARIMA or LSTM models. Example: Stock price fore...
Selected
I applied via Approached by Company and was interviewed in Mar 2024. There was 1 interview round.
(3 Questions)
- Q1. Basics of ML,python
- Q2. Difference between list vs tuple.
- Ans.
List is mutable, tuple is immutable in Python.
List can be modified after creation, tuple cannot.
List uses square brackets [], tuple uses parentheses ().
List is used for collections of items that may change, tuple for fixed collections.
Example: list - [1, 2, 3], tuple - (1, 2, 3)
- Q3. Correlation vs covariance in regression.
- Ans.
Correlation measures the strength and direction of a linear relationship between two variables, while covariance measures the extent to which two variables change together.
Correlation ranges from -1 to 1, where -1 indicates a perfect negative linear relationship, 0 indicates no linear relationship, and 1 indicates a perfect positive linear relationship.
Covariance can take any value between negative infinity and positiv...
Interview Preparation Tips
Skills evaluated in this interview
I appeared for an interview in Feb 2024.
(2 Questions)
- Q1. The interview was telephonic he will as you about probability, statistics,correlation, and python related things
- Q2. Probability statistics correlation python programming inheritance
mathanprasannakumar
I applied via Company Website and was interviewed in Aug 2023. There were 2 interview rounds.
(3 Questions)
- Q1. What is correlation ?
- Ans.
Correlation is a statistical measure that describes the extent to which two variables change together.
Correlation ranges from -1 to 1, with 1 indicating a perfect positive correlation, -1 indicating a perfect negative correlation, and 0 indicating no correlation.
Correlation does not imply causation, meaning just because two variables are correlated does not mean that one causes the other.
Examples of correlation include...
- Q2. I just said what it is
- Q3. 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.
Example: Convolutional Neural Networks (CNNs) use convolution layers to extract features from input data.
Interview Preparation Tips
I advise the applicants to have a really good resume.
2) Telephonic interview
Prepare your resume and prepare basic Linear Algebra,Probability,Statistics and Programming.
and basic hr questions like what is goal for the next 5 years ? and tell me about yourself.
Skills evaluated in this interview
(1 Question)
- Q1. Python and statistics Correlation and probability Basics Linear regression
Interview Preparation Tips
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Interview questions from similar companies
Mithun M Kumar
I applied via Campus Placement and was interviewed in Nov 2020. There were 3 interview rounds.
Interview Questionnaire
1 Question
- Q1. OOP concepts, Networking basics,
Interview Preparation Tips
simran sharma
Interview Questionnaire
1 Question
- Q1. Database related
I appeared for an interview in Aug 2016.
Interview Questionnaire
3 Questions
- Q1. To reverse Linked List in pair of three.
- Q2. Search a number in sorted rotated array.
- Ans.
Search a number in sorted rotated array.
Use binary search to find the pivot point where the array is rotated
Determine which half of the array the target number may be in
Perform binary search on the appropriate half of the array to find the target number
- Q3. A dynamic programming question was there to find a path in matrix.
Interview Preparation Tips
Experience: Interviewer mainly focused on problem solving skill.
Skills: Algorithm
College Name: KIIT University
Skills evaluated in this interview
Himani Anand1
Interview Questionnaire
1 Question
- Q1. Binary Tree concepts
Interview Preparation Tips
Experience:
Tips:
Duration: 120 minutes
Total Questions: 22
Round: Technical Interview
Experience:
Tips:
General Tips:
Skill Tips:
Skills: Algorithmic Approach To Problem Solving, Data Structures, Core Courses Concepts
College Name: IIM Lucknow
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