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AI Machine Learning Interview Questions
Questions Answers Views Company eMail

What is the difference between data mining and machine learning?

203

Describe the classifier in machine learning.

87

What is the method to avoid overfitting?

162

What is a model selection in machine learning?

97

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

88

What do you understand by reinforcement learning technique?

151

What are the functions of supervised learning?

101

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

84

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

77

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

91

How does machine learning differ from deep learning?

78

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

227

What do you know about bayesian networks?

105

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

98

What do you mean by ensemble learning?

120


Post New AI Machine Learning Questions

Un-Answered Questions { AI Machine Learning }

Why naive bayes is called naive?

90


Explain The Concept Of Machine Learning And Assume That You Are Explaining This To A 5-year-old Baby?

77


Is it better to have too many false positives or too many false negatives? Explain.

78


What is bagging and boosting in Machine Learning?

186


What is sequence classification?

173


Tell us how do deductive and inductive machine learning differ?

150


What are some common unsupervised tasks other than clustering?

112


Why ensemble learning is used?

112


What is Perceptron in Machine Learning?

233


What is data set in ml?

129


Tell us what's a fourier transform?

110


Name some feature extraction techniques used for dimensionality reduction?

86


What is a classifier in machine learning?

86


What is recall?

81


What is the use of gradient descent?

110