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Think41 Machine Learning Engineer Intern Interview Questions and Answers
Think41 Machine Learning Engineer Intern Interview Experiences
1 interview found
Anonymous
(2 Questions)
- Q1. Distinguish between tuple and list in python
- Ans.
Tuple is immutable, ordered collection of elements. List is mutable, ordered collection of elements.
Tuple is defined using parentheses (), while list is defined using square brackets []
Elements in tuple cannot be changed once assigned, while elements in list can be modified
Tuple is faster than list for iteration and accessing elements
Example: tuple_example = (1, 2, 3), list_example = [1, 2, 3]
- Q2. So what is null function?
- Ans.
A null function is a function that always returns a null value.
A null function is typically used as a placeholder or to indicate that no meaningful value can be returned.
It is commonly used in programming to handle cases where a function needs to be called but no actual computation is required.
Example: function nullFunction() { return null; }
(1 Question)
- Q1. So what is your name?
- Ans.
My name is John Doe.
My name is John Doe.
I go by John.
John is my first name, Doe is my last name.
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I applied via Campus Placement
They asked logical reasoning and some machin learning mcqs
(3 Questions)
- Q1. Tell me something about your project
- Q2. What is convolution neural network algorithm?
- Ans.
Convolutional neural network (CNN) is a deep learning algorithm commonly used for image recognition and classification.
CNN is designed to automatically and adaptively learn spatial hierarchies of features from input data.
It uses convolutional layers to apply filters to input data, extracting features at different spatial locations.
Pooling layers are used to reduce the spatial dimensions of the input data while retainin...
- Q3. How numpy works in the background?
- Ans.
NumPy is a powerful library for numerical computing in Python, providing support for large, multi-dimensional arrays and matrices.
NumPy uses C and Fortran libraries in the background for numerical computations, making it faster than pure Python.
It provides a powerful N-dimensional array object and functions for performing various mathematical operations on arrays.
NumPy arrays are stored in contiguous blocks of memory, ...
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