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Explain the concept of a loss function in machine learning.
What are the branches of ai1? What is artificial intelligence?
What is pca in ml?
Explain false negative, false positive, true negative and true positive with a simple example?
What do you mean by parametric models? Also, give some examples of them?
What is the turing test for strong artificial intelligence?
Explain recommender system?
You have been given the data on Facebook user's friending or defriending each other. How will you determine whether a given pair of Facebook users are friends or not?
Explain cluster sampling technique in data science
Differentiate between inductive learning and deductive learning?
Name three types of biases that can occur during sampling?
What do you understand by confusion matrix?
How many kinds of nns exist?
Do gradient descent methods at all times converge to a similar point?
What are frames and scripts 'in artificial intelligence'?