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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

Explain the difference between sas, r and python programming?

327

Explain data cleansing?

336

Explain the differences between univariate, bivariate and multivariate analysis?

305

Explain the difference between bayesian estimate and maximum likelihood estimation (mle)?

333

Explain the difference between a test set and a validation set?

319

Explain supervised learning?

338

Explain the difference between an analyst and a data scientist?

313

Explain the differences between univariate and multivariate analysis?

433

Explain data preparation?

310

Explain the differences between univariate and bivariate analysis?

330

Define power analysis?

339

Explain systematic sampling?

325

Explain the difference between data science, machine learning and artificial intelligence?

314

Define data discretization?

295

What is human annotated data?

837


Un-Answered Questions { Artificial Intelligence }

What are the different nlp tasks deep learning can be applied?

1001


Implement a sorting algorithm for a numerical dataset in Python.

352


What are the complexities of sorting algorithms and how can this complexity be calculated?

1036


Write a function to extract the first name from the string?

304


What is adaptive learning

69


____________ are algorithms that learn from their more complex environments (hence eco) to generalize, approximate and simplify solution logic. a) Fuzzy Relational DB b) Ecorithms c) Fuzzy Set d) None of the mentioned

3918


Define keras?

1


You have two sorted array of integers, write a program to find a number from each array such that the sum of the two numbers is closest to an integer i.

328


What are the challenges of designing natural and engaging chatbots?

83


Do you know what is kernel svm?

85


How can data governance be centralized in an LLM ecosystem?

51


Why is it beneficial to run AI models on edge devices (IoT)?

83


What is ‘Overfitting’ in Machine learning?

103


Difference between machine learning and deep learning?

5


What do you understand by cluster sampling?

60