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?

104

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?

114

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?

106

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?

185

What are standardization and normalisation?

107

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 }

Do you know which is more important to you– model accuracy, or model performance?

What is a difference in robot system and ai programs?

879

Describe the expert system and its characteristics?

964

Can we implement decision trees in tensorflow ? If Yes? What is function Name ?

What do you understand by parametric and non-parametric methods? Explain with examples.

326

What is the basic responsibility of a data scientist?

318

What do you know about tensorflow managers?

What are the challenges in developing truly autonomous vehicles?

What is the baseline in machine learning?

104

What is the best laptop for data science?

322

Give an example of an O (n) algorithm and O (n*n) algorithm such that the algorithm is slower.

1006

Give an explanation on the difference between strong ai and weak ai?

848

What is reinforcement learning with human feedback (RLHF), and how is it applied?

How is machine learning used in day-to-day life?

How can preprocessing techniques reduce bias in datasets?

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