Machine Learning Scientist Interview Questions and Answers

Interview questions for Machine Learning Scientist position

• Different types of joins: inner, left, right, full outer

• Normal distribution: bell-shaped curve with mean and standard deviation

• Skewness: measure of asymmetry in data, Kurtosis: measure of peakedness in data

• Window functions: perform calculations across a set of rows that are related to the current row

• Rank vs Dense rank: Rank assigns unique rank to each distinct value, Dense rank assigns same rank to ties

• Number of rows ...read more

Design a credit card fraud detection system using machine learning techniques to identify and prevent fraudulent transactions.

• Data Collection: Gather historical transaction data, including features like transaction amount, location, time, and user behavior.

• Feature Engineering: Create features such as transaction frequency, average transaction amount, and user spending patterns.

• Model Selection: Use algorithms like Random Forest, Gradient Boosting, or Neural Networks for classi...read more