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Event
Introduction to Machine Learning [WS222540539]
Lecturers
Organisation
- KIT-Fakultät für Wirtschaftswissenschaften
Part of
Literature
- Alpaydin, E. (2014). Introduction to Machine Learning. Third Edition, MIT Press.
- Hall, J. (2020). Machine Learning in Business: An Introduction to the World of Data Science.Independently published.
- James, G., Witten, D., Hastie, T., and R. Tibshirani (2013). An Introduction to Statistical Learning: with Applications in R. Springer.
- Tan, P. N., Steinbach, M., Karpatne, A., & Kumar, V. (2018). Introduction to data mining. Pearson
Appointments
- 24.10.2022 14:00 - 15:30 - Room: 05.20 1C-02
- 31.10.2022 14:00 - 15:30 - Room: 05.20 1C-02
- 07.11.2022 14:00 - 15:30 - Room: 05.20 1C-02
- 14.11.2022 14:00 - 15:30 - Room: 05.20 1C-02
- 21.11.2022 14:00 - 15:30 - Room: 05.20 1C-02
- 28.11.2022 14:00 - 15:30 - Room: 05.20 1C-02
- 05.12.2022 14:00 - 15:30 - Room: 05.20 1C-02
- 12.12.2022 14:00 - 15:30 - Room: 05.20 1C-02
- 19.12.2022 14:00 - 15:30 - Room: 05.20 1C-02
- 09.01.2023 14:00 - 15:30 - Room: 05.20 1C-02
- 16.01.2023 14:00 - 15:30 - Room: 05.20 1C-02
- 23.01.2023 14:00 - 15:30 - Room: 05.20 1C-02
- 30.01.2023 14:00 - 15:30 - Room: 05.20 1C-02
- 06.02.2023 14:00 - 15:30 - Room: 05.20 1C-02
- 13.02.2023 14:00 - 15:30 - Room: 05.20 1C-02
Note
- Introduction
- Data Cleaning
- Data Visualization
- Linear Regression
- Logistic Regression
- Tree-based Algorithms
- Support Vector Machine
- Shrinkage Models
- Dimensionality Reduction
- Clustering