Aims
In this three-day exercise, we will conduct the machine learning modeling with datasets for international students in master's and doctoral programs who are Python beginners and want to use Python in their research.
Participants are supposed to have the basic competence of Python programming. Therefore, the applicants are required to complete the six-hour Python Basics video lectures provided by CMDS in advance.
Timelines (12 hours)
Day1 22nd March
Time |
Topics |
13:00 - 15:00 |
Machine Learning Hands-on 1 |
15:10 - 17:00 |
Group work 1 |
Day2 27th March
Time |
Topics |
13:00 - 15:00 |
Machine Learning Hands-on 2 |
15:10 - 17:00 |
Group work 2 |
Day3 28th March
Time |
Topics |
13:00 - 15:00 |
Group work 3 |
15:10 - 17:00 |
Group Presentation |
Capacity
30
How to apply
- Applicants should apply using the google form below.
https://docs.google.com/forms/d/e/1FAIpQLSd2aBqqLlkwoOI0ZilR27xVnH7HtxloAJFLX35Pxs1XhJ-I2g/viewform?usp=sf_link
Applications are accepted on a first-come, first-served basis, and an interview will be conducted to confirm the necessity of learning Python.
Contact
- Center for Mathematical and Data Sciences, Kobe University
1-1 Rokkodai-cho, Nada-ku, Kobe, Hyogo 657-8501 Japan
E-Mail: cmds-sec@edu.kobe-u.ac.jp