Bibliografía |
[1 Básico] Web data mining :exploring hyperlinks, contents, and usage data / | ||||
| ||||
[2 Básico] Mining text data / | ||||
| ||||
[3 Básico] Mastering data warehouse design: Relational and Dimensional Techniques / | ||||
| ||||
[4 Básico] Minería de datos: técnicas y herramientas / | ||||
| ||||
[5 Básico] Data preparation for data mining / | ||||
| ||||
[6 Básico] Data science for business: what you need to know about data mining and data-analytic thinking / | ||||
| ||||
[7 Básico] Data mining: practical machine learning : tools and techniques / | ||||
| ||||
[8 Básico] Introducción a la minería de datos / | ||||
| ||||
[9 Básico] Pattern classification / | ||||
| ||||
[10 Básico] Pentaho Solutions: business intelligence and data warehousing with pentaho and MySQL / | ||||
| ||||
[11 Recomendado] Pattern Recognition and Machine Learning / | ||||
| ||||
[12 Recomendado] Deep learning / | ||||
| ||||
[13 Recomendado] Machine learning: a probabilistic perspective / | ||||
| ||||
[14 Recomendado] Python for data analysis / | ||||
| ||||