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Lead Data Scientist Interview Questions
402 lead data scientist interview questions shared by candidates
Can you please describe what overfitting is and how you deal with it?
They asked questions about values and work spirit, ensuring you would be a good fit for the company. The technical questions covered topics in Data Engineering, Data Science, and Python development practices.
1. Explain Linear regression? 2. Python code assessment
What kind of projects have you done previously at work?
How to handle difficult data sets
- Why would you like to apply for the role?
four types of matrix multiplication difference between linear transformation and matrix multiplication why minimize cross entropy and not square of error why iterative gradient decent and not closed form solutions for neural networks why ensemble solutions are robust what are auto regressive processes why solution of linear program is on edges how to optimize a function that is not analytical how tensor-flow compute gradients efficiently
Machine learning, data science and behavioural questions, in general. I also received web-related questions, such as what happens when you type in an URL into the browser and hit Enter? Or what is REST about?
1. How do you implement and deploy Data Science models in scale. 2. Use-cases of Gen AI and NLP impacting business processes.
Viewing 261 - 270 interview questions