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What is meant by simulated annealing in artifical intelligence? a) Returns an optimal solution when there is a proper cooling schedule b) Returns an optimal solution when there is no proper cooling schedule c) It will not return an optimal solution when there is a proper cooling schedule d) None of the mentioned
How do you treat outlier data?
What type of learning is needed when the system needs to adapt to rapidly changing data?
Can we implement classification in Tensorflow ? If Yes? What is function Name ?
What is eager execution?
What are the important skills to have in python with regard to data analysis?
Logistic regression gives probabilities as a result then how do we use it to predict a binary outcome?
What is the purpose of a classifier?
Tell us how do classification and regression differ?
How can Generative AI be used for text summarization?
Explain the objective of machine learning?
What is user interface?
Where to seek help in case of discrepancies in tableau?
What are the key elements of the statistical graphics?
How can you implement RNN in Tensorflow ?
