Arete Advisors Data Scientist Interview Questions and Answers

More about python and SQL coding

45 mins.

questions based on basic string manipulation but not a straightforward task

Q1. What is neutral network? Explain back propagation. Explain difference in CNN and RNN Live coding questions were also asked
Ans. 
Neural network is a computational model inspired by the way the human brain works, used for machine learning tasks.
• Neural network is a series of algorithms that attempts to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates.

• Backpropagation is a technique used to train neural networks by updating the weights of the network to minimize the difference between...read more
Answered by AI
Add your answer

Q1. What are optimizers
Ans. 
Optimizers are algorithms used to adjust the parameters of a model to minimize the error between predicted and actual values.
• Optimizers are used in machine learning to improve the accuracy of models.

• They work by adjusting the weights and biases of a model during training.

• Common optimizers include Gradient Descent, Adam, and RMSprop.

• The choice of optimizer depends on the type of problem and the characteristics of the da...read more
Answered by AI
Add your answer
Q2. What is RELU and activation functions
Ans. 
RELU is an activation function used in neural networks to introduce non-linearity.
• RELU stands for Rectified Linear Unit.

• It is a simple function that returns the input if it is positive, and 0 otherwise.

• It is commonly used in deep learning models due to its simplicity and effectiveness.

• Other activation functions include sigmoid, tanh, and softmax.
Answered by AI
Add your answer

2 DSA Codes were there with python

Q1. Explain your project
Add your answer

Quant, Reasoning and python based MCQs

Q1. Question on your past work experience. Can go deep down with respect to your prior work experience
Add your answer
Q2. In what project have you been involved and what were your roles and responsibility
Add your answer
Q3. Data Science project pipeline ,what components are involved , step by step process
Ans. 
Data science project pipeline involves multiple components and follows a step-by-step process.
• 1. Define the problem statement and objectives of the project.

• 2. Collect and preprocess the data needed for analysis.

• 3. Explore and visualize the data to gain insights.

• 4. Build and train machine learning models to solve the problem.

• 5. Evaluate the models using appropriate metrics.

• 6. Deploy the model into production and monitor...read more
Answered by AI
Add your answer

Q1. Your prior experience and salary expectations
Add your answer

Q1. Mostly related to Projects and JD
Add your answer