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Can you explain difference between data modeling and database design?
How will you test a machine learning model for accuracy?
What is ‘Overfitting’ in Machine learning?
What are Vanishing and Exploding Gradients?
What is linear optimization?
Explain the decision tree algorithm, and how is it different from the random forest algorithm?
Explain the benefit of naive bayes in machine learning?
What is data normalization in ml?
Do you know what's the “kernel trick” and how is it useful?
What is the trade-off between personalization and privacy in AI applications?
What do you understand by machine learning?
How do few-shot and zero-shot learning influence prompt engineering?
What are the functions of unsupervised learning?
How was knn different from k-means clustering?
What do you know about autoencoders?
