Data Science II
This seminar provides an advanced understanding of data science with an emphasis on hands-on projects. Students will get to know latest data science technologies – from big data to advanced machine learning and apply them in a real-world project.
Announcement
● This course is offered for the first time in Winter 2021/21.
● Programming language is python
Course Overview
| Prerequisites |
Data Science I |
| Language | English |
| Format | Seminar course (S4). Two weeks of lectures are followed by project and meeting with the project supervisor |
| Material |
Provided through Moodle (https://moodle.tu-darmstadt.de/) |
| Office Hours |
Dr.-Ing. Christian Debes: (by email appointment) Pertami Kunz: (tba) |
| Literature |
Lecture slides and tutorials from Moodle References: ● Wes McKinney: Python for Data Analysis, O’Reilly, 2017 ● Christopher M. Bishop: Pattern Recognition and Machine Learning, 2011 ● James, Witten, Hastie and Tibshirani, Introduction to Statistical Learning, Springer, 2017 |