What is your NLP experience?
Machine Learning Interview Questions
8,197 machine learning interview questions shared by candidates
They asked about past projects and your experience
Task on developing ML model and deployment
Train ML models using iris flower data set
Typical questions about your background
explain the working of neural networking and back propagation
Can you describe how XGBoost work?
Popular ML components like LSTMs, Transformers, CNN etc. Building ML models in the context of speech recognition/NLP and advantages or shortcomings of each approach. These have to all be addressed while building an ML pipeline. Know your own projects in detail and why certain models were used vs. others
Regularization, Over-fitting, Unbalanced data, ResNet, CNNs, C++ Inheritance
Your solutions to improve the code retrieval system
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