When you have a conflict with your colleagues.
Machine Learning Intern Interview Questions
8,208 machine learning intern interview questions shared by candidates
The second round of coding consists of reviewing Python scripts and essentially debugging.
The technical hands-on interview was an exercise about data preprocessing and ML inference in Python on a pair programming platform.
Why do you think you are a good match for this position?
Went through my HackerRank, gave me a series of deep learning questions, then had me do a live coding test, but just in Notepad++, so no syntax highlighting, you can't run your code to test it, and they just watch you type the solution out.
Describe advantages and disadvantages of the XGBoost algorithm
Current Roles and responsibilities Project details
You want to scale an LLM from staging with 3 testers to productions with up to 10 requests per seconds, describe the steps you need to follow to ensure a smooth release.
Pros and cons of different approaches to solving a LC problem. ML theory breadth - describe a bunch of techniques.
How would you build a model to predict the reasons why future customers might leave the business?
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