Describe Logistic Regression, how it works in a specific use case described (vategorical features encoding, dimensionality reduction, feature selection). Optimization of the model: minimize - log likelihood (cross entropy), how it works (gd).
Applied Scientist Interview Questions
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GMM model
What is the difference between l1/l2 regularization.
What are the approaches to avoid overfitting in CNN?
What is the difference between parametric and non-parametric models
Describe a time you had to overcome a challenge. Rapid-fire q & a of machine learning algorithms and concepts.
How to evaluate the model-generated text quality?
What are ROC and AUC?
Do you ever have a tight timeline to finish some tasks? How did you finish it?
Challenge project i have worked
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