Did you use Spark in your projects?
Machine Learning Consultant Interview Questions
8,221 machine learning consultant interview questions shared by candidates
They asked me to implement a sparse matrix from scratch, without relying on any existing matrix or linear algebra libraries. This required designing an efficient internal data structure to store only the non-zero elements, rather than allocating memory for the entire matrix. In addition to the core representation, I needed to implement both addition and multiplication operations, making sure they handled sparsity correctly, maintained good performance, and produced accurate results even when matrices had different sparsity patterns.
Questions about lists and pandas data structures
How would you handle distributed data processing in pySpark.
Qué me podes decir sobre vos?
Qué nivel de inglés tenés?
- How do you catch up with the latest AI advancements - with how big models you worked with (params, or hardware needed) - What is the latest paper you have read
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Questions mostly related to computer vision, how segmentation works, general considerations when detecting objects, balls, people.
Self introduction + Standard behavioral questions + Some domain specific questions.
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