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Learning Apache Mahout

Apache Mahout


20 Visitas | 43 Descargas | 2015-11-27 16:40:00 | pecarrazana

Descripción

Learning Apache Mahout is aimed at providing a strong foundation in machine learning using Mahout. This book is ideal for learning the core concepts of machine learning and the basics of Mahout. This book will go from the basics of Mahout and machine learning, to feature engineering and the implementation of various machine learning algorithms in Mahout. Algorithm usage examples will be explained using both the Mahout command line and its Java API. We will conclude the book with two chapters of end-to-end case studies. Ideally, chapters 1, 2 and 3 should be read sequentially, chapters 4 to 8 in any order, and chapters 9 and 10 after chapter 1 to 8 have been completed.

Detalles

Autor(es): Chandramani Tiwary
Año:2015
Páginas:250
Lenguaje:Inglés
Tamaño:13.77 MB
Categoría:hadoop
Etiquetas: Mahout Machine Learning hadoop clustering big data
  • MapReduce Design Patterns

  • ZooKeeper

  • Programming Pig