Traditional machine learning questions, no deep learning
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."
8,212 machine learning interview questions shared by candidates
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.
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?
implement an convolutional layer with numpy; Debuging an image segmentation with U-Net task.
A basic coding exercise and a basic machine learning exercise.
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