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.

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