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Mahout in Action

HIGHLIGHT The first and only book on Apache Mahout, an open source tool for leveraging machine learning techniques in large-scale;

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Learning Apache Mahout

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Learning Apache Mahout Classification

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Apache Mahout Clustering Designs

Explore clustering algorithms used with Apache Mahout About This Book * Use Mahout for clustering datasets and gain useful insights;

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Apache Mahout Essentials

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Hadoop Real-World Solutions Cookbook

Spark, and Mahout About This Book * Implement outstanding Machine Learning use cases on your own analytics models and processes;

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Streaming Architecture

, a committer for the Apache Drill and Apache Mahout projects, is a solutions consultant and well-known speaker and author, currently writing;

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Practical Apache Lucene 8

set that allows location constraints to be specified during a search. You'll also develop a text classifier using Lucene and Apache Mahout, a;

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Practical Apache Lucene 8

Mahout, a popular machine learning framework. After a detailed review of performance bench-marking and common issues associated with it, yoüll;

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Learning Spark

learning. Quickly dive into Spark capabilities such as distributed datasets, in-memory caching, and the interactive shell Leverage Spark's;

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Hands-On Deep Learning with Apache Spark

Speed up the design and implementation of deep learning solutions using Apache Spark Key Features Explore the world of distributed deep;

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Apache Spark 2

Build efficient data flow and machine learning programs with this flexible, multi-functional open-source cluster-computing framework Key;

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Machine Learning and Big Data

learning, including those that are solving technology requirements, evaluation of methodology advances and algorithm demonstrations. The intent;

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Learning Apache Thrift

how to assess when Apache Thrift is the best tool to be used. To start with, you will run a simple example application, learning the;

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Beginning Apache Spark 3

Take a journey toward discovering, learning, and using Apache Spark 3.0. In this book, you will gain expertise on the powerful and;

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Apache Spark 2.x Cookbook

Spark * Covers various parts of machine learning including supervised/unsupervised learning & recommendation engines Who This Book Is For;

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The Apache Ignite Book

developing Microservices in fault-tolerant fashion. This book addressed anyone interested in learning in-memory computing and distributed database;

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Big Data Analytics

, DataFrame based ML Pipelines and SparkR. * Integrations with frameworks such as HDFS, YARN and tools such as Jupyter, Zeppelin, NiFi, Mahout, HBase;

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Apache Spark Machine Learning Blueprints

Develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide About This Book * Customize;

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Practical Apache Spark

learn-to-do-by-yourself approach to learning - learn the concepts, practice the code snippets in Scala, and complete the assignments given to;

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Beginning Apache Spark 2

machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows;

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Beginning Apache Spark Using Azure Databricks

begin by learning how cloud infrastructure makes it possible to scale your code to large amounts of processing units, without having to pay for;

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Solr in Action

scaling cloud-based service and can provide additional intelligence to other big data technologies like Hadoop and Mahout.;

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Apache Spark 2.x for Java Developers

data processing and analytics * Go beyond mainstream data processing by adding querying capability, Machine Learning, and graph processing;

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Modern Data Engineering with Apache Spark

wide range of data problems from traditional data loading and processing to rich SQL-based analysis as well as complex machine learning;

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Mastering Apache Spark 2.x -

is expected. What You Will Learn * Examine Advanced Machine Learning and DeepLearning with MLlib, SparkML, SystemML, H2O and DeepLearning4J;

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Network Data Analytics

of analysis. It then examines the different machine learning techniques that are useful for data analytics, and how to visualize data with different;

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