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?

113

Explain the difference between bias and variance?

Define a fourier transform?

100

Explain how is knn different from k-means clustering?

122

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?

155

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

123

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 data set in ml?

124

what is the function of ‘unsupervised learning’?

Explain the Algorithm of Support vector machines in Machine Learning?

Explain what is the difference between inductive machine learning and deductive machine learning?

Explain the difference between machine learning and regression?

What are support vector machines?

198

Why is machine learning important?

135

Mention any one of the data visualization tools that you are familiar with?

Give me an examples of nosql architecture?

What is symbolic processing?

126

Mention the difference between Data Mining and Machine learning?

136

Why ensemble learning is used?

102

What is dimensionality reduction?

What Is The Difference Between Bias And Variance?

136

How machine learning is deployed in real world scenarios?

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