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

What is meant by Poisson regression?

329

What are essential skills and training needed in data Science?

302

Can you use machine learning for time series analysis?

290

What prior knowledge is required to become data scientist?

277

During analysis, how do you treat missing values?

365

Is it possible to perform logistic regression with Microsoft Excel?

344

How can outlier values be treated?

358

What does Machine Learning mean for the Future of Data Science?

315

How can you iterate over a list and also retrieve element indices at the same time?

297

Write a function that takes in two sorted lists and outputs a sorted list that is their union?

349

You created a predictive model of a quantitative outcome variable using multiple regressions. What are the steps you would follow to validate the model?

296

Can you cite some examples where a false negative important than a false positive?

304

Can you explain the difference between a Test Set and a Validation Set?

292

Can you cite some examples where both false positive and false negatives are equally important?

348

How can you assess a good logistic model?

365

Un-Answered Questions { Artificial Intelligence }

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

How would you handle a conflict between AI performance and ethical constraints?

How is data modeling different from database design?

274

How can you detect bias in AI models?

When underfitting occurs in a static model?

348

Which language is better for machine learning r or python?

What is nltk?

839

What is cluster sampling in data science?

319

How does AI on IoT devices differ from cloud-based AI?

How can AI help reduce carbon footprints?

There are also other operators, more linguistic in nature, called __________ that can be applied to fuzzy set theory. a) Hedges b) Lingual Variable c) Fuzz Variable d) None of the mentioned

2943

What is data science? Also, list the differences between supervised and unsupervised learning.

277

How can outlier values be treated?

358

How do you define data science?

281

What are spring annotations?

752

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