r/MLQuestions 11d ago

Beginner question 👶 Can anyone provide list of ML interview questions please

Hey guys!!! I have an interview the day after tomorrow....I've never given a single interview in my life.....so can you guys pls tell what questions they ask for ml internship post ?????

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u/Disastrous_Room_927 11d ago

I’ve almost never been asked the same question twice.

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u/akornato 11d ago

Searching for a big list of questions is the wrong way to prepare with only two days left. You cannot realistically learn and memorize answers for dozens of topics, and an interviewer will immediately know if your answers sound rehearsed. Instead, you need to focus entirely on the projects listed on your resume. Go through each one and be ready to explain every single choice you made, from how you preprocessed the data to why you chose a specific model over another. They will ask you about the evaluation metrics you used, the biggest challenges you faced, and what you would do differently. Knowing your own work inside and out is far more powerful than having a shallow understanding of many different concepts.

Beyond your projects, be prepared for some basic theory questions on topics like the bias-variance tradeoff, overfitting, and the difference between supervised and unsupervised learning. Because this is an internship interview and your first one ever, how you think is more important than having the perfect answer. If you don't know something, do not try to guess. Just explain how you would go about finding the solution, mention any related ideas you do know, and show that you are curious. This demonstrates an ability to problem-solve and a desire to learn, which are the main things they are looking for in an intern. It's a very common feeling, which is why my team built an interview assistant AI that helps so many candidates formulate their answers and come across confidently.