COURSE MATERIALS
Required Textbook
Many universities subscribe to Springer; hence, eBook is freeliy available to students, including for UNCG students.
S. Suthaharan. Machine learning models and algorithms for big data classification - Thinking with examples for effective learning. Integrated Series in Information Systems, vol. 36, pp. 1-359, Springer US. 2016
Recommended Textbook
T. Hastie, R. Tibshirani, and J. Friedman. The Elements of Statistical Learning. New York: Springer, 2009.
Additional Readings
S. Suthaharan, ``Big data classification: Problems and challenges in network intrusion prediction with machine learning.'' ACM SIGMETRICS Performance Evaluation Review, vol. 41, no. 4, pp. 70-73, 2014.
