Master in Data Science (SMS, TU) Fundamentals of Data Science Question Paper 2078 (Set First ReAssessment 2078, p2) Nepal

List three major limitations of Data Science.

Discuss in brief three ethical issues in Data Science.

List and highlight the differences between structured and unstructured data with examples.

Briefly explain the various methods used to handle missing values during data cleanup.

You want to identify global weather patterns that may have been affected by climate change. To do so, you want to use machine learning algorithms to find patterns that would otherwise be imperceptible to a human meteorologist. Discuss what machine learning method (supervised, unsupervised, reinforcement) would you use and why.

Explain OSEMN framework, its advantages, and the steps involved in it.

OR

Explain TDSP lifecycle and the steps involved. Mention at least two main advantages of using TDSP lifecycle.

With an example, explain how you would determine the True Negative and False Negative data from research dataset.

Explain with examples negativity bias and bias blind spot in a research survey.

Describe, at a high-level, the major steps that need to be taken for data cleanup/munging.

Describe and explain with examples the various types of machine learning methods (Supervised, Unsupervised and Reinforcement).

OR

How is Artificial Intelligence and Machine Learning related? Explain with examples their inter-connectivity.