Tell me about a time you overcame a challenge at work.
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."
8,195 machine learning 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
Given a certain form of data, asking to write codes to predict the classes.
Q: Detect balanced parentheses (brackets, curly braces, etc) in a string.
Difference between Chess and Candy Crush?
Implement KNN coding and general ML clustering Questions
Given list of intervals as (start, end), where each interval is a task runtime, how many CPUs that can run one task are needed to run all tasks?
Give a brief overview of your projects and history of work.
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