Bibliografia recomanada · FC2423
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Fernández-Avilés, G, & Montero, J.M. Fundamentos de ciencia de datos con R. McGraw-Hill.
No s'ha trobat al catàleg.
Hull, J.C (2021). Machine Learning in Business. An Introduction to the World of Data Science. GFS Press.
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Baumer, B. S., Kaplan, D. T., & Horton, N. J. (2023). Modern data science with R (2nd ed.). Chapman & Hall/CRC.
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Békés, G., & Kézdi, G. (2021). Data analysis for business, economics, and policy . Cambridge University Press.
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Burkov, A. (2019). The hundred-page machine learning book . Andriy Burkov.
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Provost, F., & Fawcett, T. (2013). Data science for business: What you need to know about data mining and data-analytic thinking . O’Reilly Media.
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Referències trobades
Bruce, P., Bruce, A., & Gedeck, P. (2020). Practical statistics for data scientists: 50+ essential concepts using R and Python (2nd ed.). O’Reilly Media.
Practical statistics for data scientists: 50+ essential concepts using R and Python
Bruce; Bruce; Gedeck
O'Reilly
unavailable
Gareth, J., Witten, D., Hastie, T., Tibshirani, R (2021). An Introduction to statistical learning: with applications in R. Springer.
An Introduction to Statistical Learning : with Applications in R
James; Witten; Hastie; Tibshirani
Springer New York
unavailable
Coghlan, A. (2017). A little book of R for multivariate analysis . Wellcome Sanger Institute.
Stock, J. H., & Watson, M. W. (2020). Introduction to econometrics (4th ed.). Pearson.
Wooldridge, J. M. (2013). Introducción a la econometría: Un enfoque moderno (5.ª ed.). Cengage Learning.
Introducción a la econometría : un enfoque moderno
Wooldridge; Hano Roa; Hernan D'Borneville; Hernández Lanto; Valdés Díaz de Villegas
Cengage Learning Editores S.A.
unavailable