Artificial Intelligence Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

AI Algorithms (74)
AI Natural Language Processing (96)
AI Knowledge Representation Reasoning (12)
AI Robotics (183)

Artificial Intelligence Interview Questions

Questions Answers Views Company eMail

How will you explain machine learning into a layperson?

What do you mean by parametric models? Also, give some examples of them?

Why do we convert categorical variables into factor?

100

What type of learning is needed when the system needs to adapt to rapidly changing data?

124

How to decide one problem is a machine learning problem or not?

194

What is the sigmoid function in machine learning?

112

Give a drawback of gradient descent ?

Logistic regression gives probabilities as a result then how do we use it to predict a binary outcome?

What is adagrad algorithm in machine learning?

104

What kind of problems lend themselves to machine learning?

What is the difference between supervised and unsupervised learning?

Which one would you prefer to choose – model accuracy or model performance?

177

What are standardization and normalisation?

101

What is bias-variance trade-off in machine learning?

Does 100% precision mean that our model predicts all the values correctly?

Un-Answered Questions { Artificial Intelligence }

What is an auto-encoder?

Tell me about a time you had to deal with an ethical dilemma in AI development?

What is a dbscan?

187

Explain the difference between univariate, bivariate and multivariate analysis?

262

What are the variants of back propagation?

318

How do you stay updated with the latest AI research and developments?

List some tools for training nlp models?

775

What are the penalties for non-compliance with AI regulations?

Name three types of biases that can occur during sampling?

304

What are the loaders of tensorflow?

Explain the apis outside tensorflow project?

What is ensemble learning?

What is placeholders in tensorflow ?

Pick an algorithm and write a Pseudocode for the same?

118

Stochastic hill climbing chooses at random from among the uphill moves; the probability of selection can vary with the steepness of the uphil1 move. a) True b) False

1863

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