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AI AllOther (6) One of the main cons of hill-climbing search is, a) Terminates at local optimum b) Terminates at global optimum c) Does not find optimum solution d) Fail to find a solution
Define keras?
What is a sigmoid function in Machine learning?
How can AI be used to address climate change?
Explain constraint-based method?
Why is data governance critical in managing LLMs?
Name the methods for General component analysis and explain them?
How do you ensure collaboration between data scientists and software engineers?
What is symbolic learning?
Tell us what do you think of our current data process?
In inductive logic programming what needed to be satisfied?
What are the two classification methods that SVM ( Support Vector Machine) can handle?
What are feature vectors?
Which laptop is good for deep learning?
What are the cons of tensorflow?