Embedded Files
On this page, you can look up my list of courses that I have studied.
Cores/Electives from master's degree curriculum -
Machine Learning for
Data Science(`24 Spring),
4 Credits, A-
Principles of Programming
for Data Science(`24 Spring),
4 Credits, A
2. From education platforms (Coursera, LinkedIn Learning, Edx ...etc) -
MLOps Essential
- LinkedIN Learning
(Archive Link )
IBM Data Engineering
- Coursera
(Archive Link )
Bayesian Statistics
- Coursera
(Archive Link)
3. Other resources -
Deep Learning Essentials with
PyTorch and Transformers
Deep Learning Essentials with
PyTorch and Transformers
Textbook: PyTorch로 시작하는 딥 러닝 입문 - WikiDocs
Author: Wonjun Yoo, Sanghoon Ahn
Archive of self-driven study: click this link
Credit Bank System (Non-Degree)
Credit Bank System (Non-Degree)
(Second half, 2022)
- Linear Algebra 3 credits
- Data Structure 3 credits
- C language 3 credits
- Discrete Mathematics 3 credits
- Operating Sysem 3 credits
- System Programming 3 credits
(First half, 2023)
- Algorithms 3 credits
- Database 3 credits
Calculus 1~2 (No credit, Self-study)
Calculus 1~2 (No credit, Self-study)
Textbook : James Stewart, Daniel Clegg, Saleem Watson (9E)
Lecturer : Sang June Lee (Kyung Hee Univ)
(Homepage : https://sites.google.com/site/sjlee242/)
Archive of self-driven study: click this link
Page updated
Google Sites
Report abuse