Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

What are the deep learning frameworks or tools?

1

Explain data normalization.

1

What do you understand by tensors?

1

What are the issues faced while training in recurrent networks?

1

What is the use of the activation function?

1

What is model capacity?

1

Explain the different layers of cnn.

1

What do you understand by deep autoencoders?

1

How many types of activation function are available?

1

What is the use of deep learning in today's age, and how is it adding data scientists?

1

Explain the types of perceptron?

1

Describe the theory of autonomous form of deep learning in a few words.

1

What is the sigmoid function?

1

What is the function of the fourier transform in deep learning?

1

What do you mean by "overfitting"?

1


Un-Answered Questions { Artificial Intelligence }

What are classification problems in machine learning?

70


What is batch statistical learning?

111


What are the challenges in implementing AI for real-time strategy games?

43


How to solve multi-collinearity?

232


What is the difference between skewed and uniform distribution?

199


What is referential ambiguity?

607


How do you ensure collaboration between data scientists and software engineers?

23


When does regularization become necessary in machine learning?

105


What is the difference between select and update query?

201


What is meant by classical ANOVA?

238


How do you stay up-to-date with the rapid advancements in AI?

33


What are the roles and responsibilities of a data scientist?

205


Explain how to work with the data mining algorithms included in sql server data mining?

30


Is octave good for machine learning?

54


Can you describe an example of how generative systems are used in text-to-speech synthesis for improved voice assistants?

41