Bibliografía

VanderPlas, J. (2016). Python data science handbook: Essential tools for working with data. ” O’Reilly Media, Inc.”.

Wilke, C. O. (2019). Fundamentals of data visualization: a primer on making informative and compelling figures. O’Reilly Media.

James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An introduction to statistical learning (Vol. 112, p. 18). New York: springer.

Kelleher, J. D., & Tierney, B. (2018). Data science. MIT Press.

Hastie, T., Tibshirani, R., Friedman, J. H., & Friedman, J. H. (2009). The elements of statistical learning: data mining, inference, and prediction (Vol. 2, pp. 1-758). New York: springer.

Bishop, C. M., & Nasrabadi, N. M. (2006). Pattern recognition and machine learning (Vol. 4, No. 4, p. 738). New York: springer.

Print Friendly, PDF & Email