How to build a summary table out of a written-in-a-notepad-document table of cricket wins and losses by country. How to check the validity of an IP address string given some list of constraints.
Associate Scientist Interview Questions
54,277 associate scientist interview questions shared by candidates
How to reduce number of variables in Logistic regression and random forest?
The interviewer asked about random forest and how it works. When I said that each decision tree in the forest considers a random subset of features, he disrespectfully interrupted me and told me that I am wrong. Then he scolded me for giving the "wrong" answer.
If you're trying to predict the gender of your customers and you only have 100 data points, what are possible problems?
Q: Given a function with inputs --an array with N randomly sorted numbers, and an int K, return output in an array with the K largest numbers. Q: 1. How does GMM/HMM work 2. Name some dimensional reduction method; I said PCA and we talked a bit about how PCA works and what's the physical intuiation 3. How K-means work, what kind of distance metric would you choose, what if different features have different dynamic range 4. How GMM works (EM algorithm)
Motivation, Statistik, Maschinelles Lernen, Fallstudie
Q: Tell us your greatest achievements
They asked a lot of questions about my take-home project; in particular wanted to know about the reasons that I took the approach that I did. I could tell they were coming more from a statistical and economics background for the most part; while I'm more of an engineering and machine-learning hacker type standpoint. They also had a lot of "ambiguous" questions; by that, I mean questions about ambiguous business situations I might encounter in this position. Wanted to know how well I would do with ambiguous questions I might get from business leaders.
What is the difference between bagging and boosting algorithms
what are some of your strengths and weaknesses
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