Machine Learning Interviews

Machine Learning Interview Questions

"To get a job in machine learning, you must have the programming and mathematical knowledge to create artificial intelligence that is capable of learning new tasks without being explicitly coded. In an interview you may be asked about your experience with pertinent coding languages such as Java and C++ as well as with writing algorithms. The interview will be comprised mainly of technical questions that test your knowledge of the fundamental concepts of machine learning such as data mining and signal processing."

8,212 machine learning interview questions shared by candidates

- 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.
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Machine Learning Scientist

Interviewed at dhiOmics Analytics Solutions

3.7
Sep 1, 2020

- 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.

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