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What do you understand by the confusion matrix?
A* algorithm is based on which search method?
How does AI improve anti-money laundering (AML) systems?
In "artificial intelligence" where you can use the bayes rule?
What are techniques used for data mining?
What is the difference between bayesian estimate and maximum likelihood estimation (mle)?
How can you produce co-relations and covariances?
How can data pipelines be adapted for LLM applications?
What are applications of fuzzy logic?
How the new states are generated in genetic algorithm? a) Composition b) Mutation c) Cross-over d) Both b & c
What are the differences between batch gradient descent, stochastic gradient descent, and mini-batch gradient descent?
Give a brief introduction to robotics?
How does naive bayes classifier work in machine learning?
What are the areas in robotics and information processing where the sequential prediction problem arises?
What is optimization in ML?