Cómo usarías Docker? Cómo utilizas un servicio de cloud para disponibilizar un modelo de machine learning?
Machine Learning Interviews
Machine Learning Interview Questions
"To get a job in machine learning, you must have the programming and mathematical knowledge to create artificial intelligence that is capable of learning new tasks without being explicitly coded. In an interview you may be asked about your experience with pertinent coding languages such as Java and C++ as well as with writing algorithms. The interview will be comprised mainly of technical questions that test your knowledge of the fundamental concepts of machine learning such as data mining and signal processing."
8,210 machine learning interview questions shared by candidates
Leetcode plus basic ML question like (did you do transformers, etc without actually trying to understand what we did, felt like a checklist)
What was my biggest challenge during my previous careers?
- OA: Review a Python code which uses a GET HTTP request and an SQL insert command - System Design: Design an MLOps web service - Prompting use cases - What is chain of thought prompting? - How to make any LLM to read your PDFs and ask questions about them with prompting? - What are embeddings? - Difference between Bert and GPT? - How does batch norm work?
LC medium i.e valid sudoku
Low level system design about designing a ranking system based on the number of sales of a product as well as taking into consideration the time complexity. had to do some in O(logn)
How can non-maximum suppression be used to eliminate duplicate detections?
Sorry I don’t remember the questions as this in 2017 but they were pretty difficult and made you think on the spot. Definitely a lot of situational questions.
1. Machine translation model 2. Loss functions for Machine translation 3. Text-to-Speech models 4. Live-coding
How would you solve ML question X?
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