Tell us what's the f1 score? How would you use it?
Tell us how would you approach the “netflix prize” competition?
Tell me what are your favorite use cases of machine learning models?
Tell us what is the difference between supervised and unsupervised machine learning?
Tell us what are some differences between a linked list and an array?
Explain me how would you handle an imbalanced dataset?
Explain me what's the trade-off between bias and variance?
Can you name some feature extraction techniques used for dimensionality reduction?
Tell me how is knn different from k-means clustering?
Tell us how do bias and variance play out in machine learning?
Tell us an example where ensemble techniques might be useful?
Can you explain what is the difference between inductive machine learning and deductive machine learning?
Tell us what kind of problems does regularization solve?
Tell us what is decision tree classification?
Do you know what is kernel svm?
