Big Data
Credits: 3
Type: Elective
Duration: C2
COURSE INDEX
- Introduction to big data.
Massive volume of structured and unstructured data. Data formats. - Data mining.
Preprocessing. Dimension reduction. Clustering and classification techniques. - Statistical Learning .
Statistical inference. Linear methods for regression and classification. Nearest neighbors methods. Decision trees. Artificial Neural Networks.
BIBLIOGRAPHY
- Marz, N., Warren, J. Big Data: Principles and best practices of scalable realtime data systems, Manning Publications, (2015)
- José Hernández Orallo, Mª José Ramírez Quintana and César Ferri Ramirez. Introducción a la Minería de Datos. Pearson-Prentice-Hall. 2004
- James, Gareth, WITTEN, Daniela, HASTIE, Trevor, TIBSHIRANI, Robert. An Introduction to Statistical Learning with Applications in R. Ed. 1, New York: Springer, 2013