Add office photos
Blackstraw AI logo
Engaged Employer

Blackstraw AI

Verified
3.7
based on 42 Reviews
Filter interviews by
Data Scientist
Clear (1)

Blackstraw AI Data Scientist Interview Questions and Answers

Updated 17 Jun 2024

Q1. What is Encoder Decoder? What is a Transformer model and explain its architecture?

Ans.

Encoder Decoder is a neural network architecture used for sequence-to-sequence tasks. Transformer model is a type of neural network architecture that relies entirely on self-attention mechanisms.

  • Encoder Decoder is commonly used in machine translation tasks where the input sequence is encoded into a fixed-length vector representation by the encoder and then decoded into the target sequence by the decoder.

  • Transformer model consists of an encoder and a decoder, both of which are...read more

Add your answer
right arrow

Q2. How do you choose an ML algorithm basis the data given

Ans.

ML algorithm selection is based on data characteristics, problem type, and desired outcomes.

  • Understand the problem type (classification, regression, clustering, etc.)

  • Consider the size and quality of the data

  • Evaluate the complexity of the model and interpretability requirements

  • Choose algorithms based on their strengths and weaknesses for the specific task

  • Experiment with multiple algorithms and compare their performance

  • For example, use decision trees for classification tasks, l...read more

Add your answer
right arrow

Q3. What is Regularization in machine learning?

Ans.

Regularization is a technique used in machine learning to prevent overfitting by adding a penalty term to the model's loss function.

  • Regularization helps to reduce the complexity of the model by penalizing large coefficients.

  • It adds a penalty term to the loss function, which discourages the model from fitting the training data too closely.

  • Common types of regularization include L1 (Lasso) and L2 (Ridge) regularization.

  • Regularization is important when dealing with high-dimension...read more

Add your answer
right arrow

Q4. How do u optimise a ML model How good are you in coding with Python. Rate yourself

Ans.

To optimize a ML model, one can tune hyperparameters, feature engineering, cross-validation, ensemble methods, and regularization techniques.

  • Tune hyperparameters using techniques like grid search or random search

  • Perform feature engineering to create new features or select relevant features

  • Utilize cross-validation to evaluate model performance and prevent overfitting

  • Explore ensemble methods like bagging and boosting to improve model accuracy

  • Apply regularization techniques like...read more

Add your answer
right arrow
Discover Blackstraw AI interview dos and don'ts from real experiences

Q5. What is Data Leakage?

Ans.

Data leakage occurs when information from outside the training dataset is used to create a model, leading to unrealistic performance.

  • Occurs when information that would not be available in a real-world scenario is used in the model training process

  • Can result in overly optimistic performance metrics for the model

  • Examples include using future data, target leakage, and data preprocessing errors

Add your answer
right arrow

Q6. What is Model Quantization?

Ans.

Model quantization is the process of reducing the precision of the weights and activations of a neural network model to improve efficiency.

  • Reduces memory usage and speeds up inference by using fewer bits to represent numbers

  • Can be applied to both weights and activations in a neural network model

  • Examples include converting 32-bit floating point numbers to 8-bit integers

Add your answer
right arrow

Q7. Name some Deep learning models?

Ans.

Deep learning models include CNN, RNN, LSTM, GAN, and Transformer.

  • Convolutional Neural Networks (CNN) - used for image recognition tasks

  • Recurrent Neural Networks (RNN) - used for sequential data like time series

  • Long Short-Term Memory (LSTM) - a type of RNN with memory cells

  • Generative Adversarial Networks (GAN) - used for generating new data samples

  • Transformer - used for natural language processing tasks

Add your answer
right arrow
Contribute & help others!
Write a review
Write a review
Share interview
Share interview
Contribute salary
Contribute salary
Add office photos
Add office photos

Interview Process at Blackstraw AI Data Scientist

based on 3 interviews
Interview experience
4.0
Good
View more
interview tips and stories logo
Interview Tips & Stories
Ace your next interview with expert advice and inspiring stories

Top Data Scientist Interview Questions from Similar Companies

Deloitte Logo
3.8
 • 15 Interview Questions
Capgemini Logo
3.7
 • 14 Interview Questions
Accenture Logo
3.8
 • 11 Interview Questions
Ericsson Logo
4.1
 • 11 Interview Questions
View all
Recently Viewed
INTERVIEWS
Upland Software
No Interviews
INTERVIEWS
Blackstraw AI
No Interviews
INTERVIEWS
Upland Software
No Interviews
INTERVIEWS
Knorr-Bremse
No Interviews
INTERVIEWS
DTC Projects
No Interviews
JOBS
JANARDAN FARMS AND RESORTS LLP
No Jobs
INTERVIEWS
Knorr-Bremse
No Interviews
INTERVIEWS
DTC Projects
No Interviews
INTERVIEWS
Upland Software
No Interviews
INTERVIEWS
N.K. Realtors
No Interviews
Share an Interview
Stay ahead in your career. Get AmbitionBox app
play-icon
play-icon
qr-code
Helping over 1 Crore job seekers every month in choosing their right fit company
75 Lakh+

Reviews

5 Lakh+

Interviews

4 Crore+

Salaries

1 Cr+

Users/Month

Contribute to help millions

Made with ❤️ in India. Trademarks belong to their respective owners. All rights reserved © 2024 Info Edge (India) Ltd.

Follow us
  • Youtube
  • Instagram
  • LinkedIn
  • Facebook
  • Twitter