Creating a comprehensive list of questions asked in machine learning interviews. This blog will be frequently updated and precisely tell the thinking and thought process to answer the questions. I’m trying to mimic questions to questions asked in interviews. List will have a question and its subquestions. This will cover topic from overview to deep understanding and provide links to get more detailed information.

Here’s the table of contents:

1. terms used in machine learning
2. What is Regression?
3. What is Entropy?
4. What is F1 score?
5. Distance measurement between vectors?
6. Explain Transformers?

terms used in machine learning

1. Correlation
2. Regression
3. Classification
4. Entropy
5. F1 score
6. Precision
7. Recall
8. F1
9. ROC curve
10. AUC-ROC
11. L1 regularization (lasso)
12. L2 regularization (ridge)

What is Regression?

What is Entropy?

What is F1 score?

Distance measurement between vectors?

Explain Transformers?