Tell us about your previous experience building and deploying machine-learning models.
Lead Data Scientist Interview Questions
43,694 lead data scientist interview questions shared by candidates
Lots of questions on machine learning techniques, use of regularization, differences between L1 and L2 regularization, why don't people use L0.5 regularization for instance. Use of deep learning, why Rectified Linear Unit is a good activation function etc.
how did you give feedback, give me an example
When you split a population for A/B testing, what are some reasons you could see a significant difference in the control and variant groups?
They asked me to do a project regarding credit risk
why did you choose this approach versus others?
quelle est la fonction loss de la regression logistique ?
Why do you choose netflix?
-Round 1: HM technical Review on what I have done so far. -Round 2: Coding : subarrays with length k from an array (easy leet code) ML Design questions: How to detect anomalies from some data? - Onsite Round 1: technical screen with 4 members of the team. Coding: find bboxes given an image (easy) Several ML design questions (some of them mutual between interviewers) with the same theme of detecting anomalies, flare, etc. Deep dive into my experience (every bit of it)
What is main project you have done ...what is your contribution and explain the project?
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