1. Explain the bias-variance tradeoff 2. What is k-fold cross validation and why is it important? 3. How would you deal with class imbalance?
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
What is a decision tree
A basic matrix questions
A design questions using ML
Der Loss konvergiert nicht, wie würden Sie dieses Problem beheben?
Neural network types, differentiation, basic statistics, MLE, discriminative vs generative models, graphical models
1. HR interview 2. 1st round interview: 30 mins, basic ML question 3. 2st round onsite: 5-6 hrs take home project, 2hr presentation. The hardest part would be onsite, many challenging questions. You have to find the best solution for the company. take home project is time-comsuming
I only processed 2 easy algorithm questions so far.
What are some regression metrics you are familiar with?
Leetcode style of coding questions but with unclear English
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