Tell me about a time you overcame a challenge at work.
Machine Learning Consultant Interview Questions
8,195 machine learning consultant interview questions shared by candidates
I won't give details about the question as I respect the confidentiality of the interview. However, to give a general feeling, I think it doesn't hurt to mention the following. For example, code a class that implements a very popular ML algorithm. Even if the algorithm is very simple there are lots of possible improvements and generalisations, how to make it robust, efficient etc. Same thing for a class storing common data formats: dataframe, time-series, etc... how would you efficiently code access methods and/or storing according to the features of these data types?
Questions on Custom Kmeans, GenAI, VectorDB, design, approach to solve the real time techincal problems, with scalability, etc.
Q: My profile Q: Why we are discussing Q: Why MLE
They gave me an example situation with 10 labels and asked me how I would treat the data to have a model training. Each label also had a specific data type. They only accepted one specific solution
Why is max pooling used in convolutional neural networks?
Why should we add an activation function in the neural network
What are different approaches to build the recommendation system?
Recommend three academic papers given a paragraph, and summarize each one.
Two arbitarty rectangle overlap area
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