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Name some kinds of graphs and explain how you would build them in python or r.
How does learning from context enhance the performance of LLMs?
What is bias – variance tradeoff?
What steps do you take to ensure AI fairness in your projects?
Explain the difference between data bias and algorithmic bias.
Explain what are different stages of 'data mining”?
Explain types of clustering algorithm?
If we added one rider to the current SF market, how would that affect the existing riders and drivers?
Which property is considered as not a desirable property of a logical rule-based system?
In artificial intelligence, what do semantic analysis used for?
How artificial neural networks can be applied in future?
Which search algorithm will use a limited amount of memory in an online search?
Explain the grid-based method?
Explain the term binomial probability formula?
What is weak and strong artificial intelligence?
