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    APACHE MAHOUT ONLINE TRAINING

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    Description for "APACHE MAHOUT ONLINE TRAINING"

    For more details Please contact LEARNCHASE
    www.learnchase.com
    Whatsapp: +918123930940
    E-mail Id: [email protected]
    E-mail id: [email protected]

    APACHE MAHOUT ONLINE TRAINING

    Introduction To Machine Learning And Mahout
    In Mahout Training, you will know what is machine learning, what is Apache mahout and what is clustering.

    Machine Learning Fundamentals
    Apache Mahout Basics
    History of Mahout
    Supervised and Unsupervised Learning techniques
    Mahout and Hadoop
    Introduction to Clustering and Classification.

    Apache Mahout And Hadoop
    Myrrix is a recommendation engine based on mahout, therefore this module is designed for mahout training and myrrix.
    Mahout on Apache Hadoop
    Setup Mahout and Myrrix.

    Recommendation Engine In Mahout Training
    This module will focus on Recommendation algorithm and Mahout optimizations.
    Recommendations using Apache Mahout
    Introduction to Recommendation systems
    Content Based Mahout Optimizations.

    Implementing A Recommender And Recommendation Platform
    Understanding the various recommendations, implementing Recommendors, different types of similarities in Apache mahout.

    User based recommendation
    User Neighbourhood
    Item based Recommendation
    Implementing a Recommender using MapReduce Platforms
    Similarity Measures
    Manhattan Distance
    Euclidean Distance
    Cosine Similarity
    Pearson s Correlation Similarity
    Log likelihood Similarity
    Tanimoto Evaluating
    Recommendation Engines (Online and Offline)
    Recommendors in Production.

    Clustering
    This module is designed to give you thoroughly over the clustering concepts.

    Clustering
    Common Clustering Algorithms in Apache mahout training
    K-means Canopy Clustering
    Fuzzy K-means and Mean Shift etc.
    Representing Data Feature Selection
    Vectorization in Apache Mahout training
    Representing Vectors
    Clustering documents through example TF-IDF and Implementing clustering in Hadoop Classification.

    Classification
    By the end of this training module, you will be able to develop a classifier on your own.

    Examples
    Basic Predictor variables and Target variables
    Common Algorithms
    SGD
    SVM
    Navie Bayes
    Random Forests
    Training and evaluating a Classifier
    Developing a Classifier

    Apache Mahout And Amazon EMR
    We ll focus on Apache Mahout and Amazon EMR, have an overview on Weka, Octave Matlab and SAS.

    Mahout on Amazon
    EMR Mahout Vs R
    Introduction to tools like Weka, Octave, Matlab and SAS

    Project Included In Mahout Training
    This is the implementation module, of what we have learnt so far in Apache Mahout training.
    A complete recommendation engine is built on application logs and transactions.

    For more details Please contact LEARNCHASE
    www.learnchase.com
    Whatsapp: +918123930940
    E-mail Id: [email protected]
    E-mail id: [email protected]

     

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