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Название: Learning Apache Mahout
автор: Chandramani Tiwary
Издательство: Packt Publishing
Год выпуска: 2015
ISBN: 978-1783555215
Формат: PDF
Размер: 13 MB
Количество страниц: 250
Язык: Английский
Описание: Starting with the basics of Mahout and machine learning, you will explore prominent algorithms and their implementation in Mahout development. You will learn about Mahout building blocks, addressing feature extraction, reduction and the curse of dimensionality, delving into classification use cases with the random forest and Naïve Bayes classifier and item and user-based recommendation. You will then work with clustering Mahout using the K-means algorithm and implement Mahout without MapReduce. Finish with a flourish by exploring end-to-end use cases on customer analytics and test analytics to get a real-life practical know-how of analytics projects.
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