Overview of Course

Our Apache Mahout Training is a comprehensive course designed to provide you with in-depth knowledge of Mahout, a popular machine learning library used for clustering, classification, and collaborative filtering. Through this training, you will learn how to use Mahout to build powerful machine learning models and algorithms that can be applied to real-world problems.

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Course Highlights

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Hands-on experience in building machine learning models using Mahout

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Understanding of clustering, classification, and recommendation engines

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Techniques for data preparation and feature engineering

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Skills You’ll Learn


Proficiency in Apache Mahout and its applications


Ability to build machine learning models using Mahout


Understanding of clustering, classification, and recommendation engines


Knowledge of data preparation and feature engineering


Experience in building scalable and efficient machine learning solutions using Mahout

Training Options

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1-on-1 Training

On Request
  • Option Item Access to live online classes
  • Option Item Flexible schedule including weekends
  • Option Item Hands-on exercises with virtual labs
  • Option Item Session recordings and learning courseware included
  • Option Item 24X7 learner support and assistance
  • Option Item Book a free demo before you commit!
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Corporate Training

On Request
  • Option Item Everything in 1-on-1 Training plus
  • Option Item Custom Curriculum
  • Option Item Extended access to virtual labs
  • Option Item Detailed reporting of every candidate
  • Option Item Projects and assessments
  • Option Item Consulting Support
  • Option Item Training aligned to business outcomes
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Course Reviews


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

  • Mahout on Apache Hadoop
  • Setup Mahout and Myrrix.

  • Recommendations using Apache Mahout
  • Introduction to Recommendation systems
  • Content Based Mahout Optimizations.

  • 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
  • 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.

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

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

  • Data analysts
  • Data scientists
  • Developers
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  • Basic understanding of machine learning concepts
  • Familiarity with programming concepts and languages such as Java or Python
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Benefits of the course:

  • Hands-on experience in building machine learning models using Mahout
  • Knowledge of clustering, classification, and recommendation engines
  • Techniques for data preparation and feature engineering
  • Best practices for building scalable and efficient machine learning solutions using Mahout
  • Certificate of completion from Skillzcafe
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Exam details to pass the course:

  • There is no exam to pass the course.
  • The course is designed to provide hands-on experience and practical knowledge of Apache Mahout.
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Certification path:

  • There are no specific certifications needed to learn this course.
  • However, the course completion certificate from Skillzcafe can add value to your resume and help you showcase your knowledge and skills in Apache Mahout.
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Career options:

  • Machine learning engineer
  • Data scientist
  • Data analyst
  • Big data engineer
  • Software developer

Why should you take this course from Skillzcafe:

Why should you take this course from Skillzcafe:
  • Bullet Icon Comprehensive course content with hands-on experience
  • Bullet Icon Experienced trainers with industry expertise
  • Bullet Icon Flexible learning options with 24/7 access to course materials
  • Bullet Icon Certificate of completion from Skillzcafe
  • Bullet Icon Affordable course fees


The course duration is 50 hours.

Yes, you will receive a certificate of completion from Skillzcafe upon finishing the course.

Yes, you will have lifetime access to the course materials, including videos, presentations, and exercises.

The course fee varies depending on the mode of delivery and other factors. Please visit the Skillzcafe website for more information on course fees and enrollment.

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