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I was interviewed in Sep 2024.
I was interviewed in Dec 2024.
I applied via Campus Placement and was interviewed in Aug 2023. There was 1 interview round.
Data science offers a new challenge and opportunity to apply analytical skills from my engineering background.
Data science allows me to utilize my analytical skills in a new and challenging field.
I can apply my knowledge of statistics and programming to extract insights from data.
Data science offers opportunities to work on diverse projects and industries.
My background in electrical engineering provides a strong founda...
Convolutional neural networks (CNNs) are deep learning models specifically designed for processing structured grid data, such as images.
CNNs use convolutional layers to extract features from input data
They are commonly used in image recognition tasks, such as object detection and facial recognition
CNNs are composed of multiple layers, including convolutional, pooling, and fully connected layers
They are trained using ba
Bert Labs interview questions for popular designations
I was interviewed in Oct 2023.
I applied via Approached by Company and was interviewed before Sep 2023. There was 1 interview round.
I applied via Referral and was interviewed before Apr 2022. There were 4 interview rounds.
I applied via Recruitment Consulltant and was interviewed in Jan 2022. There were 3 interview rounds.
Details on work done questions work related questions
Code for parsing a triangle
Use a loop to iterate through each line of the triangle
Split each line into an array of numbers
Store the parsed numbers in a 2D array or a list of lists
The ASCII value is a numerical representation of a character. It includes both capital and small alphabets.
ASCII values range from 65 to 90 for capital letters A to Z.
ASCII values range from 97 to 122 for small letters a to z.
For example, the ASCII value of 'A' is 65 and the ASCII value of 'a' is 97.
I applied via Referral and was interviewed in Mar 2021. There were 4 interview rounds.
Data science is the field of extracting insights and knowledge from data using various techniques and tools.
Data science involves collecting, cleaning, and analyzing data to extract insights.
It uses various techniques such as machine learning, statistical modeling, and data visualization.
Data science is used in various fields such as finance, healthcare, and marketing.
Examples of data science applications include fraud...
Python and R are programming languages commonly used in data science and statistical analysis.
Python is a general-purpose language with a large community and many libraries for data manipulation and machine learning.
R is a language specifically designed for statistical computing and graphics, with a wide range of packages for data analysis and visualization.
Both languages are popular choices for data scientists and hav...
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