Give a popular application of machine learning that you see on day to day basis?
Machine Learning Engineer Intern Interview Questions
8,195 machine learning engineer intern interview questions shared by candidates
Which final layer should be used for binary classification
What is moneky patching
Describe YOLO algorithm and how you applied it.
Write down the pseudo-code for the backward-propagation algorithm.
Monty Hall problem - solve it and then explain
Discuss approaches to and steps involved in the object detection problem.
Say you've been working on a task that took you a couple of weeks to complete. How would you react if an intern comes along and does it in a short amount of time?
The process starts with a simple 30-minute introductory round, followed by lengthy technical assessments that are mentally exhausting—especially if you're not familiar with their specific work. Then, you have to defend the work you've done. If you make it through this, there’s a cultural fit interview. However, after that, you’re left in the dark. They don’t give you answers or updates right after the rounds. Instead, weeks—and sometimes even months—can pass without any word from them. Following up results in vague responses, if any. Asking for feedback stretches the timeline even further, and sometimes you don’t receive any at all. The most frustrating part? After all the time and effort, they may finally tell you, “We think you don’t have enough experience for the role.” If that’s the case, couldn’t they have judged this earlier in the process? Why put candidates through such a grueling and time-consuming process of 1 long month, only to end with something that could have been assessed in the initial rounds? This leaves candidates questioning their own abilities and can lead to a sense of self-doubt or even mental breakdown after being left in limbo for weeks on end.
Quantizing the machine learning model
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