Podobne zapisy: Big Data Analytics with R and Hadoop :
- Data Analytics with Hadoop : An Introduction for Data Scientists /
- Data Analytics with Hadoop : An Introduction for Data Scientists /
- Hadoop : The Definitive Guide /
- Modeling Techniques in Predictive Analytics with Python and R : A Guide to Data Science /
- Big Data Analytics with Spark : A Practitioner’s Guide to Using Spark for Large-Scale Data Processing, Machine Learning, and Graph Analytics, and High-Velocity Data Stream Processing /
- Predictive Analytics Using R /
Temat: Big Data
- Enterprise Analytics : Optimize Performance, Process, and Desicions through Big Data /
- Data Science for Business : What You Need to Know about Data Mining and Data-Analytic Thinking /
- Data Warehousing in the Age of Big Data /
- Business Analytics /
- Practical Machine Learning : Tackle the Real-World Complexities of Modern Machine Learning with Innovative and Cutting-Edge Techniques /
- Advances in Data Mining : Applications and Theoretical Aspects : 12th Industrial Conference, ICDM 2012, Berlin, Germany, July 13-20, 2012 : Proceedings /
Temat: Minería de Datos - Tema Principal
- Data Mining : Concepts and Techniques /
- Data Mining for Business Intelligence : Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner /
- Building Search Applications : Lucene, LingPipe, and Gate /
- Análisis masivo de datos y contraterrorismo /
- Competing on Analytics : The New Science of Winning /
- Data Mining : soluciones con Enterprise Miner /