Department of Computer Science and Engineering
Seoul National University
Try to answer the following questions.
questions for the
be prepared for asking
Distinguish the following learning tasks: supervised learning, unsupervised learning,
reinforcement learning. How they work? What are their typical
specific examples of application.
the similarities, differences, and their properties of the following machine
learning algorithms: Memory
based learning (kNN), case
based learning, decision tees,
ibe the structure and inference mechanisms for Bayesian networks. How are they
learned from data?
are intelligent agents? What are their applications? Give specific examples.
Describe the following cases of recent success stories of AI: IBM Watson, Apple Siri,
and Google Car. Explain its problem and solution methods.