Skip to contentSkip to footer

Machine Learning Scientist Interview Questions

Salaries
Interviews

510 machine learning scientist interview questions shared by candidates

ML: What is a difference between supervised and unsupervised learning? Give an example of both. How SVM algorithm works (general description)? How to make sure you are not overfitting while training a model? How you measure accuracy or the error rates? Spark: What is RDD? Why would you ever cache an RDD?
avatar

Data Scientist Machine Learning

Interviewed at Pearson

3.5★
Oct 5, 2016

ML: What is a difference between supervised and unsupervised learning? Give an example of both. How SVM algorithm works (general description)? How to make sure you are not overfitting while training a model? How you measure accuracy or the error rates? Spark: What is RDD? Why would you ever cache an RDD?

Viewing 211 - 220 interview questions

Glassdoor has 510 interview questions and reports from Machine learning scientist interviews. Prepare for your interview. Get hired. Love your job.