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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

Advantages of tableau prep?

335

What are the types of biases that can occur during sampling?

353

What do you mean by the term linear regression?

337

What are the important skills to have in python with regard to data analysis?

334

Please explain gradient descent?

339

What is an example of a data set with a non-gaussian distribution?

331

What do you know about autoencoders?

354

How can you select k for k-means?

319

What is the difference between skewed and uniform distribution?

342

What does sas stand out to be the best over other data analytics tools?

330

What are interpolation and extrapolation?

338

What is a recommender system?

372

How do data scientists use statistics?

328

Compare sas, r, python, perl?

342

Are the expected value and mean value different?

380


Un-Answered Questions { Artificial Intelligence }

What is the method to avoid overfitting?

162


Give some disadvantages of artificial intelligence?

893


Is macbook good for data science?

336


What are the terminologies of nlp?

822


What are the steps for wrangling and cleaning data before applying machine learning algorithms?

64


Is rtx 2070 super worth it?

1


Can tensorflow be deployed in container software?

3


Differentiate between a parameter and a hyperparameter?

117


What is a lookup table?

38


What is the variance?

848


What are the components of relational evaluation techniques?

151


 What among the following constitutes to the incremental formulation of CSP? a) Path cost b) Goal cost c) Successor function d) Objective function e) Initial state

2162


What evaluation approaches would you work to gauge the effectiveness of a machine learning model?

75


What is vanishing gradient?

906


Are there any practical applications of Quantum AI today?

82