If the training error and the testing error are both high, as the number of data points increase, what measures will you take to fix the model?
Data Scientist Machine Learning Interview Questions
442 data scientist machine learning interview questions shared by candidates
Find the primitive (and derive) of log(x)
Python basics, SQL basic questions
Joins & Unions, Filtering & Sorting, Aggregate Functions, Sub queries, String and Date functions,Window functions
For the 1 hour technical interview afterwards, it was questions to get to know me and what kind of algorithms I'm familiar with and other questions like 'what is your favourite machine learning algorithm', 'what are of ML are you interested in? Give an example of something interesting in that area' They never spoke about or asked me anything about my solution to the take home challenge during this interview. They said they were looking for a candidate that will bring something new to the team.
1) SQL Questions 2)Python (programs) 3)Aptitude 4)Stats 5) Machine Learning
Recursion
Stochastic Gradient Descent: if it is faster, why don't we always use it?
Describe a project where there were multiple alternatives from which to choose in implementing it.
Given a bag of n blue and m red marbles, what's the expected number of draws until you get a blue marble?
Viewing 31 - 40 interview questions