Convex Optimization for Machine Learning
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Published in Now Publishers
Tailored to modern applications in machine learning and deep learning.
Includes programming implementation of a variety of machine learning algorithms inspired by optmization fundamentals.
Based on Python, CVXPY and TensorFlow, and provides a brief tutorial of the used programming tools.
Serves as a textbook mainly for a senior-level undergraduate course, yet is also suitable for a first-year graduate course.
Supported by the Google Education Grant
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Communication Principles for Data Science
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Published in Springer
Makes a connection between communiation and data science, delivering the story of how communication principles play a role in data science applications such as community detection, DNA sequencing, speech recognition, and machine learning.
Includes programming implementation of a variety of algorithms inspired by fundamentals.
Based on Python and TensorFlow, and provides a brief tutorial of the used programming tools.
Serves as a textbook for a junior and senior-level undergraduate course.
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Information Theory for Data Science
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Published in Now Publishers
Tailored to recent topics in data science such as social networks, ranking, GANs and fair machine learning.
Includes programming implementation of a variety of algorithms inspired by fundamentals.
Based on Python and TensorFlow, and provides a brief tutorial of the used programming tools.
Serves as a textbook mainly for a senior-level undergraduate course, yet is also suitable for a first-year graduate course.
Supported by the Google Education Grant
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Probability for Information Technology
Will be published in Springer
Delivers the story of how the key principles of probability play a role, via classical and trending IT applications such as communication, social networks, machine learning and speech recognition.
Elaborate probabilistic concepts via many running examples, killer applications and Python coding exercises.
Serves as a textbook for a sophomore-level undergraduate course, yet is also suitable for a junior or senior-level undergraduate course.
Book Chapters and Articles
[1] KAIST AI Institute (C. Suh et al.), ‘‘AI, 세상을 만나다’’, 지식공감, Dec. 2022
[2] C. Suh et al., ‘‘책임성 있는 AI를 위한 조건은?’’, 한림원차세대리포트, Dec. 2022 (website)
[3] C. Suh et al., ‘‘자율주행, 그 이상의 모빌리티: 생각하는 자동차’’, 한림원차세대리포트, Oct. 2021 (website)
[4] C. Suh, ‘‘정보통신의 아버지 섀넌의 역작 논문: A Mathematical Theory of Communication’’, 한림원의창(인생논문을 만나다), Feb. 2021 (naver post)
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