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 }

Why is Python better for machine learning?

125


What is the difference between Gini Impurity and Entropy in a Decision Tree?

102


Explain me what's the trade-off between bias and variance?

71


How is knn different from k-means?

54


What is batch statistical learning?

101






What is the Model Building in Machine Learning?

80


What is the convex function in machine learning?

59


What do you understand by decision tree in machine learning?

53


Is octave good for machine learning?

44


How Recall and True positive rate are related?

53


What's the f1 score? How would you use it?

41


What is the difference between symbolic and non symbolic AI?

85


How would you approach the “Netflix Prize” competition?

45


What is the best language to learn machine learning?

52


What are the smaller dataset techniques?

68