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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

What do you understand by clustering?

307

Differentiate between regression and classification algorithms?

325

Explain the decision tree algorithm?

400

What do you mean by p-value?

320

What is the 80/20 rule?

340

How decision tree algorithm is different from the random forest algorithm?

340

What is the roc curve?

350

What is the aim of a/b testing?

318

Define naive bayes?

318

How is data science different from data analytics?

344

What is the 80/20 rule? Explain its importance in model validation?

319

Explain box cox transformation?

391

Explain the decision tree algorithm, and how is it different from the random forest algorithm?

314

What is the svm algorithm?

422

Explain the importance of 80/20 rule in model validation?

332


Un-Answered Questions { Artificial Intelligence }

Tell us what evaluation approaches would you work to gauge the effectiveness of a machine learning model?

72


Please explain the role of data cleaning in data analysis.

331


What is the use of leaky relu function?

1


How will inspect missing data and when are they important for your analysis?

387


Have you used sampling? What are the various types of sampling have you worked with?

322


What are the three working components of tensorflow architecture?

1


Explain neural networks?

1236


What is the bidirectional search algorithm?

977


You have two tables-the first table has data about the users and their friends, the second table has data about the users and the pages they have liked. Write an SQL query to make recommendations using pages that your friends liked. The query result should not recommend the pages that have already been liked by a user.

426


What is Dropout and Batch Normalization?

5


How do we create tensors from python objects?

1


Define procedural knowledge and declarative knowledge.

1733


What do you understand by Eigenvectors and Eigenvalues?

114


What are the pros and cons of using cloud-based versus on-premise solutions for AI?

85


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

124