How does a classifier work?
Explain why Navie Bayes is so Naive?
What is ‘tuning’ in ML?
What is the method to avoid overfitting?
What is symbolic machine learning?
Name some feature extraction techniques used for dimensionality reduction?
Tell me what is the most frequent metric to assess model accuracy for classification problems?
What is the calibration layer in machine learning?
What is the difference between inductive and deductive learning?
What is the trade-off between bias and variance?
Explain what is precision and Recall?
What is logistic regression? State an example when you have used logistic regression recently.
What is classification and regression in machine learning?
Can you name some feature extraction techniques used for dimensionality reduction?
What is symbolic planning?