Course Description

Machine Learning with Mahout Certification Training

Machine Learning with Mahout Certification Training is a course run by Global Edulink, Dublin. It is a Online Learning course with a duration of 365 Days. Machine Learning with Mahout Certification Training gives a Course Qualification of Award / Certificate. For more information about Machine Learning with Mahout Certification Training at Global Edulink, please review the details below.

Machine Learning with Mahout Certification Training


Machine Learning with Mahout Certification Training is designed to teach individuals about Big Data and machine learning and how the Mahout complements the Hadoop eco system. For individuals aspiring to learn all about machine learning techniques, this is a great course to get started on. The course will focus on the algorithms of SVM, Random Forests and Naïve Bayes. You will learn to implement these algorithms using Apache Mahout and understand Clustering, Collaborative Filtering and Categorisation.

Machine Learning with Mahout Certification Training will cover key topics that will get learners up to date on how to analyse Big Data using Mahout and Hadoop. You will gain a clear understanding of the basics to advance features and functions of machine learning, and how to process large volumes of data sets. You will learn to use Mahout Libraries to develop fast and sequential classifiers capable of processing a large database of documents.

Machine Learning with Mahout Certification Training will help you master the skills required to implement machine learning algorithms. Qualifying in this course will set you in the right direction, giving you the opportunity to open the door to new and exciting job roles in data and data analytics.


1: Introduction to Machine Learning and Apache Mahout

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

2: Mahout and Hadoop

  • Mahout on Apache Hadoop setup
  • Mahout and Myrrix

3: Recommendation Engine

  • Recommendations using Mahout
  • Introduction to Recommendation systems
  • Content Based (Collaborative filtering, User based, Nearest N Users, Threshold, Item based)
  • Mahout Optimizations.

4: Implementing a recommender and recommendation platform

  • 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
  • Loglikihood Similarity
  • Tanimoto
  • Evaluating Recommendation Engines (Online and Offline)
  • Recommendors in Production

5: Clustering

  • Clustering
  • Common Clustering Algorithms
  • K-means
  • Canopy Clustering
  • Fuzzy K-means and Mean Shift etc
  • Representing Data
  • Feature Selection
  • Representing Vectors
  • Clustering documents through example
  • TF-IDF
  • Implementing clustering in Hadoop
  • Classification

6: Classification

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

7: Mahout and Amazon EMR

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

8: Project

  • A complete recommendation engine built on application logs and transactions
  • Vectorization

Access Duration

The course will be directly delivered to you, and you have 12 months access to the online learning platform from the date you joined the course.  The course is self-paced and you can complete it in stages, revisiting the lessons at any time.

Who is this Course for?

This course is recommended for individuals interested in learning machine learning techniques,

  • Data Scientists
  • Software Developers
  • Analytics Professionals
  • Business Analysts

Method of Assessment

In order to complete the Course Machine Learning with Mahout Certification Training, learners will have to submit an assignment. The assignment will demonstrate your familiarity with the particular subject and will test your ability to apply it in a real-world scenario.


Upon the successful completion of the course, you will be awarded the Certificate for Machine Learning with Mahout Certification Training by Edureka.

Awarding Body

Edureka is a pioneer in online learning and an agency that has frequently and consistently collaborated with educational and academic institutes. It guarantees expert commitment and is dedicated to learners taking their courses. Edureka is internationally recognised and takes learners a step closer to a leading career in the IT industry.


The Machine Learning with Mahout Certification Training course at Global Edulink is listed in's national courses finder.
Training ProviderGlobal Edulink
Course LocationDublin
Course TypeOnline Learning
Course QualificationAward / Certificate
Course Duration365 Days
Course TimeGuided learning hours 20
Course Fee179
Entry Requirements• Learners should be over the age of 16, and have a basic understanding of English, ICT and numeracy. • A sound educational background is recommended • Basic knowledge in Java and Hadoop is recommended
Carear Path• Data Scientists - £75,000 (Approximately) • Software Developers - £70,000 (Approximately) • Business Analysts - £64,000 (Approximately)
Phone+44 2037431666
For more information about Global Edulink, please visit our College page on by clicking here.

Course Provider

Global Edulink

CityPoint, 1 Ropemaker Street, London, EC2Y 9HU, Dublin, United Kingdom

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Global Edulink
CityPoint, 1 Ropemaker Street, London, EC2Y 9HU
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