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Do you know what is kernel svm?
Where linear optimization is used?
List few differences between ai, machine learning, and nlp?
Can you explain interpolation and extrapolation?
What are conjugate gradients, levenberg-marquardt, etc.?
How to decide one problem is a machine learning problem or not?
How can explainability improve decision-making in high-stakes AI applications?
Explain the Algorithm of Support vector machines in Machine Learning?
What is the goal of A/B Testing?
How logical inference can be solved in propositional logic?
What metrics do you use to evaluate the performance of a fine-tuned model?
What are Random Forests?
How do you treat multicollinearity and heteroscedasticity in regression? Name some packages in r and python for building regression models.
Which kind of agent architecture should an agent an use? a) Relaxed b) Logic c) Relational d) All of the mentioned
Can you explain how AI is used in predictive maintenance for industrial equipment?