Bibliografia

Principal

• - Mining of Massive Datasets, A. Rajaraman, J. Ullman, 2011, Cambridge University Press. - Big Data: Algorithms, Analytics, and Applications, Kuan-Ching Li et al., Chapman and Hall/CRC, 2015. - Learning Spark: Lightning-Fast Big Data Analysis, Holden Karau, A. Konwinski, P. Wendell and M. Zaharia, O'Reilly Media, 2015. - Understanding Deep Learning, Prince, Simon JD., MIT press, 2023. - Advanced Analytics with Spark: Patterns for Learning from Data at Scale, Sandy Ryza et al., O'Reilly Media, 2017. - Practical Data Science with Hadoop and Spark: Designing and Building Effective Analytics at Scale, Ofer Mendelevitch, Casey Stella and Douglas Eadline, Addison-wesley, 2016.:

Secundária

• - All of Statistics: A concise course in Statistical Inference, L.Wasserman, Springer, 2003. - The elements of statistical learning, Trevor Hastie, Robert Tibshirani, and Jerome Friedman. Springer, 2001. -- Deep Learning, Ian Goodfellow and Yoshua Bengio, 2016, MIT Press.: