Explain bias variance trade-off in relation to ML model complexity.
Lead Data Scientist Interviews
Lead Data Scientist Interview Questions
"As a lead data scientist, you will be responsible for developing creative and effective improvements to a company's product by analyzing data from consumers, websites, sales, and many other sources. During an interview, expect to be given many case studies about what information you can draw from a particular set of data as well as to be tested on your general statistical and computer science knowledge. A background in computer science, statistics, or another related field is required. "
398 lead data scientist interview questions shared by candidates
about object detection projects I worked on
They ask you about situations in your professional life and how did you respond
How would you create a music recommendation software? What data would you need?
Comment tu fais ta veille en data science ?
Como você transformaria essa pesquisa em um produto?
Q: What creative accomplishments have you previously achieved? Q: Have you previously had to work in an unstructured capacity?
Classic background questions, and in detail screening of techs and tools used
Most questions were about my experience in machine learning and computer vision.
Technical questions around projects, basic ML
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