Basic Questions on Machine Learning.
Machine Learning Internship Interview Questions
8,195 machine learning internship interview questions shared by candidates
The task was to rank the sensors according to their importance/predictive power with respect to the class labels of the samples
Experience with reading ML research papers?
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.
What Projects did I do?
* Project experience; * Experience with K8
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
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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