Back to all questionsML Knowledge
What would be your approach to handling a high-dimensional dataset in a machine learning problem?
Tags
Data Analyst
Marketer
General
Discuss both feature selection and dimensionality reduction techniques, with considerations for when each might be more appropriate.
Companies Asking this quesiton.
Hard Difficulty
Hard questions require advanced understanding and critical thinking. Here, your problem-solving skills are key, as these questions often involve complex scenarios needing in-depth analysis and well-structured responses.
ML Knowledge question
ML Knowledge questions test your theoretical understanding of machine learning concepts. Showcase your grasp of algorithms, model training techniques, feature engineering, and the mathematical foundations of artificial intelligence.