How can u statistically interpret ridged regression?
Machine Interview Questions
10,780 machine interview questions shared by candidates
Design question - Improve your performance and reliability in a given data pipeline.
How many balls are in a pool?
Tell me about a time you overcame a challenge at work.
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.
What machines are you familiar with
Q: My profile Q: Why we are discussing Q: Why MLE
How long you work there and how was it
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
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