In Technical interview of 30-50 minutes, -> simple basics of C like (values and referencing,memory management,stack and heap memory) ->puzzle of probability or simple geeksforgeeks puzzles(they don't see if you answer correct or not, but check your cognitive skills) ->Why the complexity of mergeSort is O(n log(n)). ->Database Questions(they check your logic not queries). ->Problem Solving Question( Again logic is important). -> Machine Learning Logic Check like Predict if maid will come tomorrow or not. Tell me which meaning attributes in data would be required to predict so. (I told 7-8 like weather, way of speaking of maid daily, her family functions and more). As you can see Interview questions were good. They are checking if you can think or not. Also other basic interview questions were asked.
Machine Learning Consultant Interview Questions
8,221 machine learning consultant interview questions shared by candidates
Pruning of decision tree
Related with my experience. Some are from the job requirement.
Traditional machine learning questions, no deep learning
1. We also had to write two codes related to ML...we could use sklearn. 2. Hr was straightforward, tell me something about yourself...etc. 3. Most questions were from my resume. 4. Performance metrics, hypothesis testing, etc.
Questions didn't pertain to the job description. The initial job description was more generalized. The questions I got were specific to a sub-branch within the general description.
They were generally about numeral detection in license plates,
SQL: Basic to advance level questions in SQL(Joins, Sub queries, Window functions) Python: Basic coding questions like pattern printing and questions on Projects
What is a random forest? What are the parameters used in a random forest?
Which technologies worked on. Detailed work explanation about work in projects of previous organization. ML frameworks used. ML algorithms worked on. Choice of algorithms.
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