Implement a NLP model (classifier) given a huggingface dataset (IMDB).
Learning Engineer Interview Questions
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Just talked about my projects and the asked more technical question
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.
I was asked about my previous experience with Machine Learning
The Take home assignment is about rotated object detection.
Tell us about your experience ?
Q: How can you implement this? Q: How can ML help us in this case?
Take home assignment about ML
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