Readings & Resources

Reading List

• Christopher M. Bishop: Pattern Recognition and Machine Learning; Springer, 2007 - Website
• Han, Kamber: Data Mining: Concepts and Techniques; Elsevier, 2012 - Website
• Hastie, Tibshirani, Friedman: The Elements of Statistical Learning; Springer, 2009 - Website
• James, Witten, Hastie, Tibshirani: An Introduction to Statistical Learning with Applications in R; Springer, 2015 - Website
• Tan, Steinbach, Kumar: Introduction to Data Mining; Pearson, 2005 - Website

Introductory Readings

• Fahrmeier, Künstler, Pigeot, Tutz: Statistik: Der Weg zur Datenanalyse; Springer, 2016 - Website
• Rice: Mathematical Statistics and Data Analysis; Duxbury Advanced, 2007 - Website

Books on Python

• Lutz: Learning Python, 5th Edition - Website
• McKinney: Python for Data Analysis, 2nd Edition - Website

Resources

• Kaggle - Website
• Introduction to Python - Python For Beginners
• PyPi - the Python Package Index - Website
• scikit-learn - Machine Learning in Python - Website
• Jupyter notebooks - Website
• Data Analysis in Python - Website
• Visualizations of Probability Concepts - link