2540539 – Introduction to Machine Learning

In recent years, the volume, variety, velocity, veracity, and variability of available data have increased due to improvements in computational and storage power. The rise of the Internet has made available large sets of data that allow us to use and merge them for different purposes. Data science helps us to extract knowledge from the continually-increasing large datasets. This course will introduce students to a wide range of machine learning and statistical techniques. Students will learn theory and concepts with real data sets from different disciplines such as finance, marketing, and business.

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.

Dr. Abdolreza Nazemi

16. Okt 2024

25. Sep 2025

Vorlesung

Geb. 05.20, Room 1C-02

Monday 14:00 - 15:30

wöchtl.

Englisch

This work has all rights reserved by the owner.

Dr. Abdolreza Nazemi

nazemi@kit.edu

16. Okt 2024, 17:30 - 25. Sep 2025, 17:35

Sie können diesem Kurs direkt beitreten.

Unbegrenzt

21. Okt 2024 - 31. Mär 2025

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3294720