803300 - Aprendizaje automático y Big Data - Biblioguía del Grado en Ingeniería del Software - Biblioguías UCM at Universidad Complutense

E-Reserves: 803300 - APRENDIZAJE AUTOMÁTICO Y BIG DATA / GRADO EN INGENIERÍA DEL SOFTWARE / Curso 2024-2025

Marta Caro Martínez

Bibliografía recomendada en la guía docente

James, G. (2021). An introduction to statistical learning : with applications in R (2ª ed). Springer. [Libro-e]
McKinney, W. (2022) Python for data analysis
Géron, A. (2017), Hands-on machine learning with Scikit-Learn and TensorFlow: concepts, tools, and techniques to build intelligent systems
Raschka, S., Mirajalili, V. (2017), Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow
Sebastian Raschka, V. (2019), Python machine learning : machine learning and deep learning with python, scikit-learn, and tensorflow 2. [Libro-e]
Fandango, A. (2017), Python data analysis
Witten, I. H. (2017), Data mining : practical machine learning tools and techniques
Hastie, T., Tibshirani, R. and Friedman, J. (2017), The elements of statistical learning : data mining, inference, and prediction
Bishop, Christopher M. (2009), Pattern recognition and machine learning
Mitchell, T. M. (1997), Machine learning
James, G. (2015) An introduction to statistical learning : with applications in R. Corrected at 6th printing 2015. New York: Springer.
Hastie, T., Tibshirani, R. and Friedman, J.(2017), The elements of statistical learning : data mining, inference, and prediction [Libro-e]
Hastie, T., Tibshirani, R. and Friedman, J. (2009), The Elements of Statistical Learning [Web]
McKinney, W. (2014), Python for data analysis

Conozco y acepto que el uso de los materiales contenidos en estas guías se realiza con finalidad de estudio, de apoyo a la docencia y la investigación. Se respetarán las condiciones de uso y contratación de cada uno de los recursos.