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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

What do you understand by the job description of data scientist?

295

How can you deal with different types of seasonality in time series modelling?

305

What is an Eigenvalue and Eigenvector?

312

What prior subject is required to become data analyst?

301

Why L1 regularizations causes parameter sparsity whereas L2 regularization does not?

365

What do you understand by statistical power of sensitivity and how do you calculate it?

289

Give some situations where you will use an SVM over a RandomForest Machine Learning algorithm and vice-versa?

418

How do data management procedures like missing data handling make selection bias worse?

443

What is meant by logistic regression?

351

Can you cite some examples where a false positive is important than a false negative?

303

What are various steps involved in an analytics project?

280

Explain Data Science Vs Machine Learning?

304

What is Survival Analysis?

310

List the types of OLAP server?

39

What does subject-oriented data warehouse signify?

89


Un-Answered Questions { Artificial Intelligence }

You are given a training dataset of users that contain their demographic details, the pages on Facebook they have liked so far and results of psychology test based on their personality i.e. their openness to like FB pages or not. How will you predict the age, gender and other demographics of unseen data?

290


How do data scientists use statistics?

286


Are the expected value and mean value different?

331


What is difference between tensorflow and pytorch ?

5


What is the difference between bayesian estimate and maximum likelihood estimation (mle)?

278


What are issues in data mining?

149


What do you hope to achieve in your career in the field of AI?

122


How will you set the threshold for credit card fraud detection model?

146


What is Ragged Tensors ?

5


What is false positive and false negative in terms of machine learning?

71


Name three disadvantages of using a linear model?

327


How can AI help financial institutions with stock price prediction?

1008


What are an eigenvalue and eigenvector?

280


What are the various classification algorithms?

305


What do you mean by parametric models? Also, give some examples of them?

64