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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

Differentiate between type I and type ii error?

308

Give an example of a data set that has a non-gaussian distribution?

308

What is the importance of data cleaning in analysis?

286

Describe the various steps involved while carrying out an analytical project?

297

Different between overfitting and underfitting?

370

Differentiate between skewed and uniform distribution?

322

Why is dimensional reduction performed before fitting a support vector machine (svm)?

335

What is the importance of selection bias?

313

What is the purpose of a/b testing?

296

What is machine learning and how can it be used for time series analysis?

268

Explain recommender systems?

319

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

307

while working on a data set, how can you select important variables? Explain

337

What is a linear regression?

323

What is skewed distribution & uniform distribution?

298


Un-Answered Questions { Artificial Intelligence }

List some of the various tools used in robotics?

822


In any 15-minute interval, there is a 20% probability that you will see at least one shooting star. What is the proba­bility that you see at least one shooting star in the period of an hour?

441


How do you optimize code for performance?

1114


An example where ensemble techniques might be useful?

111


Can r be used for machine learning?

96


What are the best public data sets for machine learning?

84


Explain the challenges associated with developing human-level AI.

1628


How does the bias in training data affect the performance of AI models?

77


What are Intelligent Agents and Bots on the Internet?

2422


What do you do as a data scientist?

318


Which developer tools and frameworks are most commonly used with LLMs?

32


What is k-means? How can you select k for k-means?

306


What are the three stages of building the hypotheses or model in machine learning?

86


What are the differences between knowledge representation methods like Semantic Networks and Ontologies?

82


What do you understand by ensemble learning?

317