02265nam a22003257i 4500 20251030135903.0 t| 230503s2015 inu||||| |||| 00| 0 spa d 9781118876138 CO-ViULL rda spa eng 23 005.7 D232 EMC Education Services 160782. Data science and big data analytics : discovering, analyzing, visualizing and presenting data. Indianápolis, Indiana : John Wiley & Sons, 2015. 410 páginas : : figuras ; tables. texto txt rdacontent sin mediación n rdamedia volumen nc rdacarrier Contents. Chapter 1: Introduction to Big Data Analytics. -- Chapter 2: Data Analytics Lifecycle. -- Chapter 3: Review of Basic Data Analytic Methods Using R. -- Chapter 4: Advanced Analytical Theory and Methods: Clustering. -- Chapter 5: Advanced Analytical Theory and Methods: Association Rules. -- Chapter 6: -- Advanced Analytical Theory and Methods: Regression. -- Chapter 7: Advanced Analytical Theory and Methods: Classification. -- Chapter 8: Advanced Analytical Theory and Methods: Time Series Analysis. -- Chapter 9: Advanced Analytical Theory and Methods: Text Analysis. -- Chapter 10: Advanced Analytics—Technology and Tools: MapReduce and Hadoop. -- Chapter 11: Advanced Analytics—Technology and Tools: In-Database Analytics. -- Chapter 12: The Endgame, or Putting It All Together. Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. Data in computer systems 160783. Datos en los sistemas informáticos 160784. Data sets 160785. Conjuntos de datos 160786. Big data 160663. Integración semántica Sistemas informáticos 160787. ddc BK 47470 47470 0 0 ddc 0 0 001 001 GEN 2023-05-03 El bibliotecólogo Compra 290.70 0000023395 2 005.7 D232 086924 2024-06-07 00:00:00 2024-05-16 Ej.:1 2023-05-03 ISF BK