Just talked about my projects and the asked more technical question
Machine Learning Engineer Interviews
Machine Learning Engineer Interview Questions
Companies rely on machine learning engineers to help design and improve the systems that allow their software to improve on its own, rather than being specifically programmed. During the interview process, be prepared to be tested heavily on both computer science and data science knowledge with an emphasis on recognizing patterns and trends. A bachelor's degree in computer science or a related field will be required.
Top Machine Learning Engineer Interview Questions & How to Answer
Question #1: What are the most important algorithms, programming terms, and theories to understand as a machine learning engineer?
Question #2: How would you explain machine learning to someone who doesn't understand it?
Question #3: How do you stay up to date with the latest news and trends in machine learning?
8,212 machine learning engineer interview questions shared by candidates
q: how to visualize a given set of points on a graph using numpy
Explain the benefits of the Map-Reduce framework.
1) Correcting a python script, which implements the fibonacci sequence 2) Design a chess platform, which also contains a chess engine.
For the take home exercise, they send you a problem where you have to build a model to solve it. For the interview they ask you specific deep learning questions as well as plotting and analyzing probability distributions.
Get the incorrectly classified samples from test dataset
I was asked about my previous experience with Machine Learning
The Take home assignment is about rotated object detection.
havent go through the interview yet. still waiting
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