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 unsupervised learning?

How do you control for biases?

Do gradient descent methods at all times converge to a similar point?

123

Explain the various benefits of r language?

Why data cleansing is important in data analysis?

What are the two main components of the hadoop framework?

What are confounding variables?

126

Differentiate between data science, machine learning and ai.

Give examples of machine-to-machine communications?

What is root cause analysis?

158

Compare sas, r and python programming?

163

Give me an examples of nosql architecture?

What is logistic regression? State an example when you have used logistic regression recently.

176

Explain the steps in making a decision tree.

123

What do you understand by algorithm independent machine learning?

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Un-Answered Questions { AI Machine Learning }

What are neural networks and where do they find their application in ML? Elaborate.

100

Tell me what is the difference between bias and variance?

105

What is a boltzmann machine?

175

What is A/B testing in Machine Learning?

215

what’s a fourier transform?

103

How can you ensure that you are not overfitting with a particular model?

101

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

Compare sas, r and python programming?

163

What is bagging and boosting in Machine Learning?

178

Is it better to learn python or r?

Why is harmonic mean used to calculate f1 score and not the arithmetic mean?

105

What is naive bayes used for?

Why classification is important in machine learning?

Explain me what is machine learning?

What is the baseline for machine learning?

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