Test Your Skills: 26 Data Science Interview Questions & Answers
Can you answer them all?
Here are 26 data science interview questions, each followed by an acceptable answer. The questions will be mixed by difficulty and topic, but all pertain to machine learning and data science. I would recommend just looking at the question and taking a moment to think of the answer before continuing to verify your answer.
Whether you’re a college student or an experienced professional, everyone can spend some time to test (or refresh) their skills!
Can you answer them all?
1 | Differentiate between machine learning, artificial intelligence, and data science. (Topic: General)
Artificial intelligence is a wide term that focuses on applications ranging from robotics to text analysis, and as a role serves a combination of both business and technical aspects. Machine learning is a subset of AI that focuses on a narrow range of activities, and serve a purely technical role. Data science is not exactly a subset of machine learning, but uses machine learning to analyze and make future predictions, and can serve a business role.
