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

AI Machine Learning Interview Questions

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How is knn different from k-means?

What is the trade-off between bias and variance?

Which are the two components of bayesian logic program?

Do you think that treating a categorical variable as a continuous variable would result in a better predictive model?

What are the common ways to handle missing data in a dataset?

What do you understand by ilp?

What are the recommended systems?

Describe precision and recall?

What according to you, is more important between model accuracy and model performance?

Describe dimension reduction in machine learning.

Explain true positive, true negative, false positive, and false negative in confusion matrix with an example.

Describe 'training set' and 'training test'.

What do you understand by the confusion matrix?

How is a decision tree pruned?

What do you mean by genetic programming?

Un-Answered Questions { AI Machine Learning }

Explain the two components of Bayesian logic program?

When to use ensemble learning?

What is the difference between supervised and unsupervised machine learning?

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

What Is The Difference Between An Array And Linked List?

What is a recommendation system?

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

What do you understand by ilp?

How do you choose an algorithm for a classification problem?

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

What is calibration in machine learning?

Mention the difference between Data Mining and Machine learning?

What is candidate sampling in machine learning?

When should you use classification over regression?

Is Python necessary for machine learning?

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