In the initial discussion round, they have asked questions related to the basics of machine learning and machine learning algorithms. And then they have asked about CNN, RNN, LSTM, different deep learning frameworks like TensorFlow and PyTorch. Questions like what are the updates are there in Tensorflow 2.x compared to 1.x, what is the difference between Tensorflow and Keras. They asked questions related to the projects which I have mentioned in my resume. In coding assessment round, they gave some tasks to perform in a particular deadline.
Learning Management Interview Questions
14,609 learning management interview questions shared by candidates
What Projects did I do?
* Project experience; * Experience with K8
Quels sont les logiciels sur lesquels vous êtes à l’aise ?
ML 1. XGBoost usage and applications 2. Genetic vs Bayesian Algorithms Python 1. Advantages of Python 2. Dict comprehension 3. What's a Middleware ? DevOps 1. Lots of AWS questions 2. CI/CD & DDT approaches + automation scripts 3. Nginx - what why & how ? FastAPI 1. Flask is more popular, why use FastAPI ? 2. Importance of Pydantic ? 3. Using routers
Describe the workflow of one of the projects mentioned in your cv
They asked if I had a deep learning experience and how much experience I have in the exactly improving DL models.
What would you do if a student told you something that might affect their well being
Tiene experiencia laboral de acuerdo a nuestra empresa?
what project did you do till now and what is your role in that project?
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