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Learning Engineer Interview Questions
6,597 learning engineer interview questions shared by candidates
The first call - general HR questions about the company, my expertise and motivation. The technical interview - asked about my previous projects, how I approached various problems, theoretical ML related questions (e.g. what is the difference between decision tree and random forest)
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.
Related with my experience. Some are from the job requirement.
What would make me prefer one job\workplace over another.
What trait in myself would I want to improve\change.
Traditional machine learning questions, no deep learning
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?
1. What is the difference between binary tree and a binary search tree? 2. How do you add and delete nodes from a BST? 3. What are heaps? 4. Given [2,1,3,4,5,6] , whats the fastest sorting algorithm that can be used? 5. What are threads vs processes?
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