AI Machine Learning Interview Questions
Questions Answers Views Company eMail

Tell us how do deductive and inductive machine learning differ?

66

Tell us how is a decision tree pruned?

40

Tell us which do you think is more important: model accuracy or model performance?

51

What is the f1 score? How would you use it?

129

What is the difference between type I and type ii error?

51

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

63

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

434

Name some feature extraction techniques used for dimensionality reduction?

60

What are some differences between a linked list and an array?

43

How can we use your machine learning skills to generate revenue?

73

How do you ensure you're not overfitting with a model?

78

What is a fourier transform?

74

Why is “naive” bayes naive?

52

How do deductive and inductive machine learning differ?

38

What is your training in machine learning and what types of hands-on experience do you have?

42


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Un-Answered Questions { AI Machine Learning }

What do you mean by regression in machine learning?

44


Give a drawback of gradient descent ?

50


Tell me what are the last machine learning papers you've read?

44


Explain how is knn different from k-means clustering?

66


What is adagrad algorithm in machine learning?

84






How does a classifier work?

52


What are the best public data sets for machine learning?

60


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

61


Tell us which do you think is more important: model accuracy or model performance?

51


Tell us why is “naive” bayes naive?

52


Explain the function of Unsupervised Learning?

53


What is the method to avoid overfitting?

114


Why is machine learning important?

56


If a highly positively skewed variable has missing values and we replace them with mean, do we underestimate or overestimate the values?

108


Which os is best for machine learning?

103