Basics machine learning questions - Overfitting, Regularization
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."
8,210 machine learning interview questions shared by candidates
Q: Describe Decision Tree algorithm? Q: What is WGBoost, his parameters and how to perfom it.
Tell me about yourself. What is your current and expected salary? Why do you want to join us?
Interview questions were directly related to the project you completed and presented to the group.
Questions about the machine learning pipeline, data cleaning, model selection
What specific machine learning algorithms have you used in past projects. They asked about Bayes, neuro nets, and support vector machines.
How would you debug data spilling in spark?
Write the code for Supervised machine learning problem
Coding Round simple mathematical Leetcode based questions followed by Behavioural round asked about previous company role and future prospects
Didn't even get a chance.
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