Glassdoor users rated their interview experience at Dipper as 100% positive with a difficulty rating score of 2 out of 5 (where 5 is the highest level of difficulty). Candidates interviewing for Machine Learning Intern and rated their interviews as the hardest, whereas interviews for Machine Learning Intern and roles were rated as the easiest.
The hiring process at Dipper takes an average of 7 days when considering 1 user submitted interviews across all job titles. Candidates applying for Machine Learning Intern had the quickest hiring process (on average 7 days), whereas Machine Learning Intern roles had the slowest hiring process (on average 7 days).
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?