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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."
8,203 machine learning interview questions shared by candidates
The programming test was written: three exercises.
Second Interview Question: Given a 2D binary matrix, write a solution to make the image symmetric along the X and Y axes. The only operations allowed are full row and full column insertions without modifying the values in the original matrix. The goal is to find the minimum number of row and column insertions.
Pagination with Pivoting: You will be given a list of items, and the aim is to implement pagination around a pivot element. It should be circular.
research experience question
Split a pandas data frame into training and validation splits.
Q1. Given a string of characters, find duplicate adjacent characters and remove them. The result should be the string without any duplicate adjacent characters. Ex: given string - “aabc” Output - “bc”
Sparse metric Multiplication, cosine Similarity
1st question was like Describe EDA(Exploratory Data Analysis) 2nd question was use case
A couple interview Qs I can remember are: What is the bias-variance tradeoff? What's a GBM and an example of one? What is under fitting and over fitting?
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