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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What evaluation approaches would you work to gauge the effectiveness of a machine learning model?

What are the last machine learning papers you've read?

Explain the difference between bias and variance?

Define a fourier transform?

Explain how is knn different from k-means clustering?

How would you use f1 score?

How is bayes' theorem useful in a machine learning context?

Explain the difference between type I and type ii error?

Define kernel svm?

How would you use fl score?

Explain how do classification and regression differ?

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Explain how do you ensure you're not overfitting with a model?

What is recall?

Explain how do you handle missing or corrupted data in a dataset?

Explain when should you use classification over regression?

Un-Answered Questions { AI Machine Learning }

What is the convex function in machine learning?

Explain how does naive bayes classifier work in machine learning?

Explain the Algorithm of Decision Trees in Machine Learning?

Tell us what is the difference between supervised and unsupervised machine learning?

What is a class in machine learning?

Describe the classifier in machine learning.

What is the best language to learn machine learning?

Tell us what are some differences between a linked list and an array?

Which is best language for machine learning?

Assume that you are working on a data set, explain how would you select important variables?

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What are the different methods for Sequential Supervised Learning?

Is regression a machine learning?

What is the use of naive bayes?

What is motor sequence learning?

What is machine learning and how does it relate to ai?

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