AI Machine Learning Interview Questions
Un-Answered Questions { AI Machine Learning }
What is Perceptron in Machine Learning?
What do you understand by decision tree in machine learning?
What are Bayesian Networks (BN) ?
What is symbolic planning?
What is the difference between bayes and naive bayes?
Do you know which is more important to you– model accuracy, or model performance?
What is the trade-off between bias and variance?
What type of learning is needed when the system needs to adapt to rapidly changing data?
What is bias-variance decomposition of classification error in ensemble method?
What are the advantages of Naive Bayes?
How is machine learning used in day-to-day life?
What is a bayesian model?
What is A/B Testing?
Is macbook good for machine learning?
What are the different methods of Sequential Supervised Learning?
