AI Machine Learning Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

AI Machine Learning Interview Questions

Questions Answers Views Company eMail

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

143

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

178

How will you choose the most appropriate machine learning algorithm for your classification problem?

When should one use mean absolute error over root mean square error as a performance measure for regression problems?

162

What does linear in ‘linear regression’ actually mean?

178

What is the “curse of dimensionality?

102

What do you understand by decision tree classification?

What do you mean by parametric models?

How do we separate one dimensional, two dimensional and three-dimensional data?

111

How will you explain machine learning into a layperson?

What do you mean by parametric models? Also, give some examples of them?

Why do we convert categorical variables into factor?

104

What type of learning is needed when the system needs to adapt to rapidly changing data?

124

How to decide one problem is a machine learning problem or not?

194

What is the sigmoid function in machine learning?

114

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Un-Answered Questions { AI Machine Learning }

How do I learn Python machine learning?

161

What’s your favorite algorithm, and can you explain it to me in less than a minute?

159

Explain cross-validation.

What is difference between a parameter and a hyperparameter?

180

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

Explain how is knn different from k-means clustering?

122

Explain the Algorithm of Probabilistic networks in Machine Learning?

How to decide one problem is a machine learning problem or not?

194

How much do ai programmers make?

229

“People who bought this, also bought….” Recommendations on amazon are a result of which machine learning algorithm?

154

What do you understand by Eigenvectors and Eigenvalues?

114

What is feature engineering?

Explain me a hash table?

What is bias and variance in a Machine Learning model?

249

What are the three stages to build the hypotheses or model in machine learning?

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