Project explanation and questions like why did you choose a particular technology
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."
8,225 machine learning interview questions shared by candidates
Q. Explain SVM and kernels
Q. Correlation vs Covariance. Pearson vs Spearman vs Cramer
Applicable: Leetcode question, system design and cultural fit questions
Design a system to predict how many days it will take before a hotel is fully booked for the users selected date range.
There were different machine learning classification techniques based on Booking domain.
A medium leetcode question for the live coding interview. An ML system design problem as expected. And the behavioral one was according to the profile.
They asked me regarding the BERT terminologies, regarding the dropout and Random Forest Algorithms.
unsupervised learning, overfitting, underfitting questions
What is overfitting and underfitting? What is SimCLR and FixMatch? What are the problems with SimCLR? How do you set the threshold for linear regression? How do the kernels work in SVM? What is the derivative of the sigmoid function? How does backpropagation work? How do K-means clusters work and how do you choose the value of K?
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