Mahout Training Mumbai

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 Mahout Training

Introduction to Mahout

The Apache Mahouts goal is to build an environment for quickly creating scalable performant machine learning applications. The three major components of Mahout are :-

  • An environment for building scalable algorithms,

  • Many new Scala + Spark and H2O (Apache Flink in progress) algorithms, and

  • Mahout’s mature Hadoop MapReduce algorithms.

mahout-training Mumbai

Apache Mahout is a project of the Apache Software Foundation to produce free implementations of distributed or otherwise scalable machine learning algorithms focused primarily in the areas of collaborative filtering, clustering and classification. Many of the implementations use the Apache Hadoop platform. Mahout Training Mumbai.

you need to have prior exposure to Core Java, Hadoop, and any of the Linux operating system flavors.Before you start proceeding with this tutorial, we assume that you have prior exposure to Core Java, Hadoop, and any of the Linux operating system flavors.

Data mining algorithms to analyze bulk data to identify trends and draw conclusions are not yet widely available for all scenarios but still this domain is in hot trends for more than a decade with numerous algorithms. However, no data mining algorithm can be efficient enough to process very large datasets and provide outcomes in quick time, unless the computational tasks are run on multiple machines distributed over the cloud.

We now have new frameworks that allow us to break down a computation task into multiple segments and run each segment on a different machine. Mahout is such a data mining framework that normally runs coupled with the Hadoop infrastructure at its background to manage huge volumes of data.

Hadoop is an open-source framework from Apache that allows to store and process big data in a distributed environment across clusters of computers using simple programming models.

Apache Mahout is an open source project that is primarily used for creating scalable machine learning algorithms. It implements popular machine learning techniques such as:

  • Recommendation

  • Classification

  • Clustering

Features of Mahout

  • The algorithms of Mahout are written on top of Hadoop, so it works well in distributed environment. Mahout uses the Apache Hadoop library to scale effectively in the cloud.

  • Mahout offers the coder a ready-to-use framework for doing data mining tasks on large volumes of data.

  • Mahout lets applications to analyze large sets of data effectively and in quick time.

  • Includes several MapReduce enabled clustering implementations such as k-means, fuzzy k-means, Canopy, Dirichlet, and Mean-Shift.

  • Supports Distributed Naive Bayes and Complementary Naive Bayes classification implementations.

  • Comes with distributed fitness function capabilities for evolutionary programming.

  • Includes matrix and vector libraries.

apache-mahout-training Mumbai

Applications of Mahout

  • Adobe, Facebook, LinkedIn, Foursquare, Twitter, Yahoo and many tech giants use Mahout internally.

  • Foursquare helps you in finding out places, food, and entertainment available in a particular area. It uses the recommendation engine of Mahout.

  • Twitter uses Mahout for building models of user interests.

  • Yahoo uses Mahout for pattern mining.

 

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Weekdays / Fast Track / Weekends / remote Online / Corporate Training modes available!

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Mahout Training Also available across India in Bangalore, Pune, Hyderabad, Mumbai, Kolkata, Ahmedabad, Delhi, Gurgon, Noida, Kochin, Tirvandram, Goa, Vizag, Mysore,Coimbatore, Madurai, Trichy, Guwahati

On-Demand Fast track Scala Training globally available also at Singapore, Dubai, Malaysia, London, San Jose, Beijing, Shenzhen, Shanghai, Ho Chi Minh City, Boston, Wuhan, San Francisco, Chongqing.

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