AI Machine Learning Interview Questions
Questions Answers Views Company eMail

What are the two classification methods that SVM ( Support Vector Machine) can handle?

45

What is the general principle of an ensemble method and what is bagging and boosting in ensemble method?

47

What is bias-variance decomposition of classification error in ensemble method?

52

What is an Incremental Learning algorithm in ensemble?

54

What is PCA, KPCA and ICA used for?

68

What are the different methods for Sequential Supervised Learning?

63

What are the areas in robotics and information processing where sequential prediction problem arises?

52

What are the different categories you can categorized the sequence learning process?

51

Give a popular application of machine learning that you see on day to day basis?

53

What is symbolic machine learning?

73

What is the difference between symbolic and non symbolic AI?

85

What is symbolic reasoning?

101

Who is associated with the theory of symbolic learning?

42

What is symbolic processing?

82

What is symbolic learning?

68


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Un-Answered Questions { AI Machine Learning }

What is ROC curve and what does it represent?

58


What kind of problems does regularization solve?

58


What are the five popular algorithms of Machine Learning?

65


How does naive bayes classifier work in machine learning?

61


What is the difference between artificial learning and machine learning?

56






Explain how do you think google is training data for self-driving cars?

108


What are your favorite use cases of machine learning models?

47


Is machine learning hard?

167


Explain latent dirichlet allocation (lda).

84


What skills do you need for machine learning?

54


What is 'naive' in the Naive Bayes classifier?

64


What is machine learning in artificial intelligence?

64


How will you explain machine learning to a layperson in an easily comprehensible manner?

35


What is ensemble learning?

51


What do you know about bayesian networks?

47