Big Data (1 º Sem 2020/2021)

ECO , ECN , FIN , GES , MNG , MAEG , EAP (Econometria Aplicada e Previsão)

Bibliografia

Principal

• Andy Konwinski, Holden Karau, Matei Zaharia, and Patrick Wendell,, Learning Spark , 1st Ed. O?Reilly Media., 2015
• Bart Baesens, Analytics in a Big Data World: The Essential Guide to Data Science and its Applications, , , Wiley, 2014
• Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani., An Introduction to Statistical Learning with Applications in R, , 1st ed., Springer Texts in Statistics, 2013
• Ian Witten, Eibe Frank and Mark Hall. , Data Mining: Practical Machine Learning Tools and Techniques , 3rd ed., Morgan Kaufmann Publishers, 2011
• Trevor Hastie, Robert Tibshirani, Jerome Friedman, The Elements of Statistical Learning: Data Mining, Inference, and Prediction , 2nd ed., Springer Texts in Statistics, 2009

Secundária