AI Machine Learning Interview Questions
Questions Answers Views Company eMail

What is the difference between data mining and machine learning?

52

Describe the classifier in machine learning.

53

What is the method to avoid overfitting?

114

What is a model selection in machine learning?

67

How is machine learning used in day-to-day life?

52

What do you understand by reinforcement learning technique?

48

What are the functions of supervised learning?

66

Why instance-based learning algorithm sometimes referred to as lazy learning algorithm?

55

What are the different types of algorithm methods in machine learning?

45

What are the three stages of building the hypotheses or model in machine learning?

62

How does machine learning differ from deep learning?

48

What is svm in machine learning? What are the classification methods that svm can handle?

99

What do you know about bayesian networks?

47

What according to you, is the standard approach to supervised learning?

64

What do you mean by ensemble learning?

57


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Un-Answered Questions { AI Machine Learning }

How do we know which machine learning algorithm is better for us to solve our problem?

44


What is the most frequent metric to assess model accuracy for classification problems?

61


What is supervised and unsupervised machine learning?

112


How is knn different from k-means?

54


What is pca in ml?

85






What is kernel SVM?

55


Differentiate supervised and unsupervised machine learning.

190


What is the “kernel trick” and how is it useful?

89


How will you know which machine learning algorithm to choose for your classification problem?

60


Tell me what is a recommendation system?

50


Explain the bias-variance tradeoff.

42


What is the Difference between Concept Learning and Classification Learning in Machine Learning?

148


What is Time Series Analysis/ Forecasting?

58


How to choose notable variables while working on a data set?

61


What is machine learning good for?

39