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.
Machine Interview Questions
10,786 machine interview questions shared by candidates
What Projects did I do?
* Project experience; * Experience with K8
Go over my resume and why I left each job
How would your supervisor describe you? was one of the questions.
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
What was your major? What can you do?
Tiene experiencia laboral de acuerdo a nuestra empresa?
What was the one thing good about working?
Viewing 1031 - 1040 interview questions