What should I be expecting? Sql, R , Python, level of difficulty? Never interviewed with LinkedIn before thank you for input!
I have a friend at LinkedIn who legit told me that he asks people the equations of the forget gate of an LSTM in interviews. He’s insane.
I know nothing about this I should leave it to god
If you’re not applying to a ML research engineer role, you’re fine. On the other hand a couple of people who applied for Data Science internships recently told me they were asked SQL and basic python data structure questions.
I haven’t interviewed at LinkedIn, but I’ve been on a ton of data science interviews and they’re roughly all the same. Some questions about sql, basic probability (bayes theorem, conditional probability...etc), basics around modeling (where is the randomness in random forest and what is its purpose, pros and cons of X vs Logistic Regression), and then techniques for handling common issues, like class imbalance, over fitting, comparing models.
I had my onsite last week for senior data scientist. The process starts with two technical screening, one. SQL(expect two intermediate question with follow up question) screen share and one case study. If you clear both then the on-site is mostly focused around intermediate SQL and R/Python, stats and A/B testing, Statistical modelling (pretty basic ones like linear, logistic and KNN and little bit of random forest), case study (not really any stucture for this). Hope it's helpful.
How was the interview, OP?
How was it?
The intricacies of gradient topology theory along with coding optimal solutions to dynamic programming problems. A lot of tough questions on the theoretical details of LSTM cells, with white boarding the equations behind the forget gate, and how the memory state learns long term dependencies by controlling the vanishing/exploding gradient. Nah, I’m just fucking with you. I’m drunk.
Dude when reading the first few sentences I was seriously questioning my English ability
Write down the formula for back propagation