Technical depth in deep learning and machine learning. Thorough understanding of my relevant work experience in machine learning and data science.
Senior Scientist Interview Questions
5,830 senior scientist interview questions shared by candidates
Q. Change the sigmoid function so that it is more narrow?
Problem-solving. In-depth questions from previous projects and skill set. A strong grasp of fundamentals is necessary. Why you used certain techniques and algorithms over others?
They asked me to walk through one of my recent end-to-end data science projects and explain how I approached the problem, what techniques I used and the impact it created.
Example question: What type of data storage was used by the data pipeline of your last project X, and why?
shell command two write ngram Python recursive function to convert JSON file into dict R function to find Peaks
Second round questions are: what according to you is data science? -- Answer will be always subjective, Can't we do non-linearity model using logistic regression? Even if you transform variable and use it in model -- statisticians refer the transformed variable as feature and logit is linear to feature.
Asked about background and asked to describe completed projects
We have: [('kevin', 'march', 10), ('mark', 'april', 20), ('bill', 'march', 5), ('mark', 'april', 5), ('sarah', 'march', 2), ('sarah', 'may', 5),] Determine each person has how many records in 'march'. You are allowed just to use built-in functions.
What is are Boosted Trees?
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