How can u statistically interpret ridged regression?
Machine Learning Intern Interview Questions
8,194 machine learning intern 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.
Q: My profile Q: Why we are discussing Q: Why MLE
Find all the anagrams of a String
What makes me unique? How your past experience and skills fit to this position? Do you need a visa? How your experience with problem X,Y,Z?
What is linear regression
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