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Learning Apache Mahout

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Learning Apache Mahout, 9781783555215 (1783555211), Packt Publishing, 2015

If you are a Java developer and want to use Mahout and Machine Learning to solve Big Data analytics use-cases then this book is for you. Familiarity with shell-scripts is assumed but no prior experience is required.

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.

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