Machine learning questions on models, evaluation and putting models into production, asked in ML engineering and data science interviews.
Showing 10 of 33 questions
Capital One, Google, Netflix, Pinterest
Can you share details about a machine learning project you have been involved in?
Medium
machine learning
What are overfitting and underfitting? Which models are more prone to these issues, and what are the reasons behind that?
Medium
machine learning
SAP
You possess a dataset consisting of 1,000 avatar images and 100,000 user descriptions linked to those images. Develop a model that suggests an image from a new collection of 100,000 images (which does not include any of the original 1,000 images) based on a user description.
Medium
machine learning
Scale AI
Examine an interval ranging from 0 to 1 that includes ten points distributed uniformly. Explain the distribution of points between the 5th and 6th positions.
Medium
machine learning
What indicators would you take into account to evaluate the performance of your model?
Medium
machine learning
Capital One
What methods do you use to keep informed about the latest developments in machine learning?
Medium
machine learning
TikTok
Create a surveillance system for TikTok.
Medium
machine learning
Is the Mean Squared Error (MSE) an appropriate cost function for a logistic regression model?
Medium
machine learning
What does it mean when the area under the curve (AUC) is equal to 0.5?
Medium
machine learning
Meta (Facebook)
Create a tailored news ranking system.
Medium
machine learning
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