Golgappa.net | Golgappa.org | BagIndia.net | BodyIndia.Com | CabIndia.net | CarsBikes.net | CarsBikes.org | CashIndia.net | ConsumerIndia.net | CookingIndia.net | DataIndia.net | DealIndia.net | EmailIndia.net | FirstTablet.com | FirstTourist.com | ForsaleIndia.net | IndiaBody.Com | IndiaCab.net | IndiaCash.net | IndiaModel.net | KidForum.net | OfficeIndia.net | PaysIndia.com | RestaurantIndia.net | RestaurantsIndia.net | SaleForum.net | SellForum.net | SoldIndia.com | StarIndia.net | TomatoCab.com | TomatoCabs.com | TownIndia.com
Interested to Buy Any Domain ? << Click Here >> for more details...

AI Machine Learning Interview Questions
Questions Answers Views Company eMail

What is regularization? Can you give some examples of regularization techniques?

109

What is the curse of dimensionality? Can you list some ways to deal with it?

128

What is an imbalanced dataset? Can you list some ways to deal with it?

124

Can you explain the differences between supervised, unsupervised, and reinforcement learning?

111

What is data augmentation? Can you give some examples?

110

What are convolutional networks? Where can we use them?

113

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

Microsoft,

71

Choose any machine learning algorithm and describe it.

Microsoft,

261

What do you mean by finite automata?

Verifone,

62

What are different types of Compilers and also define how to convert NFA to DFA?

Tavant Technologies, Verifone,

78

Why is naïve bayes machine learning algorithm naïve?

154

what’s a fourier transform?

135

What are parametric models? Give an example.

82

Explain latent dirichlet allocation (lda).

114

Explain the bias-variance tradeoff.

74


Post New AI Machine Learning Questions

Un-Answered Questions { AI Machine Learning }

What is a fourier transform?

102


Why do we use Python and machine learning AI?

101


Explain false negative, false positive, true negative and true positive with a simple example?

90


Explain the Algorithm Technique of Unsupervised Learning in Machine Learning?

86


Can you name some feature extraction techniques used for dimensionality reduction?

70


What do you understand by Precision and Recall?

107


How do you handle missing or corrupted data in a dataset?

75


What were the last machine learning papers you read? Why do you think the was important?

134


What is the difference between probability and likelihood?

166


How Recall and True positive rate are related?

79


What are the most common types of machine learning task?

94


Why do ensembles typically have higher scores than individual models?

180


How would you screen for outliers and what should you do if you find one?

115


How is ML different from artificial intelligence?

129


Explain How We Can Capture The Correlation Between Continuous And Categorical Variable?

128