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Artificial Intelligence Interview Questions
Un-Answered Questions { Artificial Intelligence }
Define keras?
How does naive bayes classifier work in machine learning?
What is the goal of the clustering?
What contributes to artificial intelligence?
Mention any one of the data visualization tools that you are familiar with?
How to determine the number of clusters in k-means clustering algorithm?
What are issues in data mining?
When do you need to update the algorithm in data science?
What is meant by lattice graphs?
Name methods of clustering?
How would you address fairness in AI for multi-lingual or global applications?
Why is bayes theorem important?
Tell us how do you handle missing or corrupted data in a dataset?
Explain what is deep learning, and how does it contrast with other machine learning algorithms?
How is F1 score is used?
