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ML Knowledge
4 years ago
What are some of the prerequisites for clean data when it comes to machine learning, and how do you ensure they are all met?
Data Scientist

Microsoft

Duolingo

Yahoo

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4 years ago
ML Knowledge
4 years ago
Are you familiar with the technique of cross-validation, which allows you to assess the effectiveness of a machine learning model?
Data Scientist

Microsoft

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Walmart

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Ancestry

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4 years ago

Use the STAR Methodology: Structure your responses using the STAR approach (Situation, Task, Action, Result). This helps in providing comprehensive answers and demonstrating your problem-solving process effectively. Engage with the Interviewer: Ask clarifying questions to ensure you understand the context and specifics of what is being asked. This shows your engagement and helps tailor your answers more accurately. After answering, check in with the interviewer by asking if they need further clarification or if they understood your response. This ensures your answers are clear and addresses any follow-up questions they might have.

— Data Scientist from Microsoft (coach #BW272K)Book a slot with this coach
ML CaseML Knowledge
4 years ago
What optimization techniques ares you familiar with and how do they basically work? How would you find the optimal price given a linear demand function?
Data Scientist

Microsoft

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Babylon Health

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Figma

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4 years ago
Statistics
4 years ago
In statistical analysis, what is the purpose of the Wilk-Shapiro measure and how is it used to evaluate normality in a dataset?
Data Scientist

Microsoft

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Coursera

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Nutanix

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4 years ago
Statistics
4 years ago
Generate 7 integers with equal probability from a function which returns 1/0 with probability p and (1-p)
Data Scientist

Microsoft

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Glovo

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GOJEK

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4 years ago
Behavioral
4 years ago
What did you do when you missed a deadline?
Data ScientistTechnical Program ManagerSoftware EngineerML Engineering Manager

Microsoft

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Decathlon

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NVIDIA

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4 years ago
ML Knowledge
4 years ago
What are some of the major assumptions inherent in linear regression models, and what implications do they have for interpreting output?
Data Scientist

Microsoft

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Illumina

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StubHub

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4 years ago
ML Knowledge
4 years ago
In the context of machine learning, what is gradient boost and how does it function?
Data Scientist

Microsoft

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Hitachi

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Grubhub

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4 years ago
ML Knowledge
4 years ago
For those of us not well-versed in decision trees, could you provide an explanation of bias and variance and how they're pertinent? Additionally, could you share with us which of those two is tougher to deal with: high bias or high variance - and why?
Data Scientist

Microsoft

Elastic Logo

Elastic

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Rivian

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4 years ago
ML Knowledge
4 years ago
What insights can an ROC curve provide about a classifier? What are the main contrasts between the methodologies of bagging and boosting?
Data ScientistMachine Learning Engineer

Microsoft

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Zillow

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Wish

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4 years ago

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*All interview questions are submitted by recent Microsoft Data Scientist candidates, labelled and categorized by Prepfully, and then published after being verified by Data Scientists at Microsoft.

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