Machine Learning Intern applicants have rated the interview process at Dipper with 2 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 100% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Intern roles take an average of 7 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at Dipper overall takes an average of 7 days.
Common stages of the interview process at Dipper as a Machine Learning Intern according to 1 Glassdoor interviews include:
I applied through other source. The process took 1 week. I interviewed at Dipper in May 2017
Interview
I applied through Angel List. I went through two rounds of interviews. The first round was a phone screen where they asked me about my college projects experience and asked me about ML. The second round was a take-home assignment with a sample dataset and an objective. I cleared both rounds.
Interview questions [1]
Question 1
What is the difference between bagging and boosting in ensemble method?