Sulfikar Ali Nazar
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№ 003 — The study pages
35+ questions · four tracks
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Machine Learning (10)
Python (8)
React (8)
Java Spring Boot (9)
What is the difference between supervised and unsupervised learning?
Explain how transformer models work and their advantages over RNNs.
What is the bias-variance tradeoff in machine learning?
What is gradient descent and how does it work?
Explain the difference between L1 and L2 regularization.
What is cross-validation and why is it important?
What are precision, recall, and F1-score?
Explain the concept of neural network backpropagation.
What is the difference between bagging and boosting?
What is a confusion matrix and how do you interpret it?
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