What are CNNs and how can you modify them for thermal images.
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. "
399 lead data scientist interview questions shared by candidates
1. Python Coding - Pandas, List Operations, DSA 2. Statistics & Probability - CLT, Bayesian, Conditional, etc. 3. ML Questions - Logistics Regression, Evaluation Metrics, Decision Trees, Optimisation 4. Analytics & Probability Puzzles 5. How do you deal with difficult ppl in teams, etc.
How have you managed high achievers vs low performers in your team?
Describe some of the projects you have worked on
Basics of statistics and machine learning
Tell us about your experience.
Q: Problem solving Q: Architecture design for impersonation classifier Q: Challenges in past projects, both technical and non-technical
Soft Skills questions in HR part and general data science discussion in Technical part
What is regularization? What is a linear model?
Give me an example project that you worked on.
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