How would you describe what "machine learning" is to a non-technical audience?
Science Interview Questions
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Q: What projects have you done recently?
General: - Why are you interested in working at Accenture? - How has your background prepared you for this role? Coding - Parse a string of names into a list of unique names - Inner join of a small dataset with a large dataset given both as csv files Machine learning - Explain each step of the K-Means clustering algorithm - Build a model to predict fraudulent transactions given a structured dataset with labels
ML question: Difference between XGBoost and Random Forest
If 500 is 70% of it what is 100%?
What are the difference between Gradient boosting and ad boosting? What is the formula for Ridge regression?
Linear Regression assumption/ random forest related/ sql and classification.
Technical questions: Basic SQL questions
Numpy array manipulation methods such as reversing a list, basic counting algorithms. Standard SQL queries such as computing/retrieving aggregated values, WHERE, HAVING, GROUP BY clauses, etc.
Two codings, one about the panda data frame, and one string list. and 7 stats and machine learning basic multiple-choice
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