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Explain the concept of Local Interpretable Model-agnostic Explanations (LIME).
How different is a mean value different from expected value?
How can you deal with different types of seasonality in time series modelling?
Which laptop is best for artificial intelligence?
What do you understand by deep autoencoders?
What are some potential challenges of neuromorphic computing?
Which os is best for machine learning?
Can you explain supervised learning?
What is your favorite use case for machine learning models?
How was bayes’ theorem useful in a machine learning context?
Why was “naive” bayes naive?
What are the best public data sets for machine learning?
Why machine learning is so important?
How to Retrain an Image Classifier for New Categories ?
Explain interpolation and extrapolation?
