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 regularization? Can you give some examples of regularization techniques?

103

What is the curse of dimensionality? Can you list some ways to deal with it?

113

What is an imbalanced dataset? Can you list some ways to deal with it?

121

Can you explain the differences between supervised, unsupervised, and reinforcement learning?

101

What is data augmentation? Can you give some examples?

104

What are convolutional networks? Where can we use them?

101

What are the steps for wrangling and cleaning data before applying machine learning algorithms?

Microsoft,

Choose any machine learning algorithm and describe it.

Microsoft,

249

What do you mean by finite automata?

Verifone,

What are different types of Compilers and also define how to convert NFA to DFA?

Tavant Technologies, Verifone,

Why is naïve bayes machine learning algorithm naïve?

147

what’s a fourier transform?

103

What are parametric models? Give an example.

Explain latent dirichlet allocation (lda).

108

Explain the bias-variance tradeoff.

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Un-Answered Questions { AI Machine Learning }

What are the two paradigms of ensemble methods?

149

What are the best python libraries used in machine learning?

223

Describe dimension reduction in machine learning.

Explain the benefit of naive bayes mcq?

What are the different types of classifiers?

What’s the trade-off between bias and variance?

103

What are the most common types of machine learning task?

Why ensemble learning is used?

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

107

What are the similarities & difference between machine learning and human learning?

What is Bayes theorem in artificial intelligence?

103

What is Perceptron in Machine Learning?

223

What is the baseline in machine learning?

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

Explain the machine learning techniques?

102

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