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Un-Answered Questions { Artificial Intelligence }

Explain p-value?

386


What is reinforcement learning?

342


Explain the term binomial probability formula?

330


When do you need to update the algorithm in data science?

338


Discuss 'naive' in a naive bayes algorithm?

352


Explain collaborative filtering

410


Define the term deep learning?

346


Explain the difference between data science and data analytics?

368


Explain the benefits of using statistics by data scientists

355


Define the term cross-validation

323


what the aim of conducting a/b testing?

334


What is the k-means clustering method?

377


Name various types of deep learning frameworks

440


State the difference between the expected value and mean value?

350


Explain auto-encoder

337