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What is dimension reduction in Machine Learning?
How does masking work in Transformer models?
Tell us how do bias and variance play out in machine learning?
What is rollup and cube?
What is a classifier in machine learning?
What is model interpretability, and why is it important?
What are the issues faced while training in recurrent networks?
What according to you, is more important between model accuracy and model performance?
Why do you want to work as a data scientist?
How do you deal with ambiguity in requirements when developing AI applications?
What are the applications of a.i?
Can you describe the importance of human-AI interaction in AI for improved user experience?
What is PCA, KPCA and ICA used for?
What are the types of biases that can occur during sampling?
Can you describe an example of how autonomous systems are used in industrial automation for improved manufacturing?
