Explaining how ML models actually work
Senior Machine Learning Scientist Interview Questions
467 senior machine learning scientist interview questions shared by candidates
General deep learning questions (dropout, regularization, overfitting)
Advantages of logistic regression vs Random Forest
How do the Convolutional layers of a CNN work?
How do you select a model?
Describe role and responsibilities on one project
When are you available for a phone interview?
- SQL & Python (Basics) * Basic questions on SQL Joins, Unions, Filtering, String & Date functions, Aggregate functions. * Basic user defined functions, visualizations, pandas functions - SQL (Advanced) * Queries using window functions (Row Number, Rank, Dense Rank), sub-queries in SQL to check approach and logic to solve a problem - Python (Advanced) + ML * user defined functions * Asked to explain one of the projects listed on my resume, few basic ML questions * Exploratory data analysis questions - Apti & HR * questions on Number series and puzzles, basic statistical questions. * HR questions on background, personality check questions, why analytics, why dhiOmics.
In SQL questions were more related to window functions, joins, subqueries etc. In python questions were based on dataset filtering and visualization. In ML, questions were more related to concepts behind algorithms.(Linear regression, logistic regression etc)
Pruning of decision tree
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