Machine Learning with Mahout Certification Training

Live Online & Classroom Training

Machine Learning Certification Training covers the fundamentals of machine learning techniques ranging from various algorithms of Support Vector Machines, K-means clustering, Random Forests, Collaborative filtering to recommendation system, Mahout on Hadoop and Amazon EMR, etc.

Instructed by SPRINGPEOPLE

No Public/Open-house class on the topic scheduled at the moment!

Course Description


The Apache Mahout project's goal is to build an environment for quickly creating scalable performant machine learning applications. Machine Learning Online Course gives you a thorough introduction of Apache Mahout and how it works and the concepts like Recommendation Engine, Clustering, Classification etc to fill up your skills.


After the completion of this course, you will be able to:

  • Understand what is Apache Mahout and how it works
  • Learn Recommendation engine
  • Explore Clustering and Classification


Basic Java Knowledge is mandatory. Hadoop knowledge is desirable but not mandatory

Course Curriculum

Expand All
  • Machine Learning Fundamentals,
  • Apache Mahout Basics,
  • History of Mahout,
  • Supervised and Unsupervised Learning techniques,
  • Mahout and Hadoop,
  • Introduction to Clustering, Classification.
  • Mahout on Apache Hadoop setup,
  • Mahout and Myrrix.
  • Recommendations using Mahout,
  • Introduction to Recommendation systems ,
  • Content Based (Collaborative filtering,
  • User based, Nearest N Users, Threshold, Item 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,
  • Loglikihood Similarity,
  • Tanimoto, Evaluating Recommendation Engines (Online and Offline),
  • Recommendors in Production.
  • Clustering,
  • Common Clustering Algorithms,
  • K-means,
  • Canopy Clustering,
  • Fuzzy K-means and Mean Shift etc.,
  • Representing Data,
  • Feature Selection,
  • Vectorization,
  • Representing Vectors,
  • Clustering documents through example,
  • TF-IDF, Implementing clustering in Hadoop,
  • Classification.
  • Examples, Basics,
  • 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, SAS.


SpringPeople works with top industry experts to identify the leading certification bodies on different technologies - which are well respected in the industry and globally accepted as clear evidence of a professional’s “proven” expertise in the technology. As such, these certification are a high value-add to the CVs and can give a massive boost to professionals in their career/professional growth.

Our certification courses are fully aligned to these high-profile certification exams; at the end of the course, participants will have detailed knowledge, be eligible and be fully ready take up these certification exams and pass with flying colours.



About the Instructor

Founded in 2009, SpringPeople is a global premier eLearning marketplace for Online Live, Instructor-led classes in the region. It is a certified training delivery partner of leading technology creators, namely Pivotal, Elastic, Lightbend, EMC, VMware, MuleSoft, RSA, and... Read More

Course Rating and Reviews


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SPRINGPEOPLE SpringPeople Trainer

Piyush Rai

Course Material:
Class Experience:
We have not received any reference document or study material. Ideally that should have been shared in advance. I did request Trainer to provide it but still waiting on that.

SPRINGPEOPLE SpringPeople Trainer

Rahul Sagar

Unix Systems Admin
Course Material:
Class Experience:
Good experience

SPRINGPEOPLE SpringPeople Trainer

Vikram MK

Course Material:
Class Experience:
Proper abstract of the course is necessary, for eg: major portion of the course was relevant to Infrastructure management teams and not for product development teams. The course should be tailored better so that you can get value out of it and the respective departments/teams should not be put in the same course.

This class is intended for participants with some prior exposure to the technology and are now looking to build up their expertise on the topic.

On successful completion of the course, participants will be eligible to sit of the related certification exam (see course overview). All participants receive a course completion certificate, demonstrating their expertise on the subject.

Total duration of the online, live instructor led sessions. Sessions are typically delivered as short lectures (2-hrs weekdays/3-hrs weekends) and detailed hands-on guidance.

Expected offline lab work hours that participants will need to complete and submit to the trainer, during and after the instructor-led online sessions.

  1. We are happy to refund full fee paid - no questions asked - should you feel that the training is not up to your expectations.
  2. Our dedicated team of expert training enablement advisors are available on email, phone and chat to assist you with your queries.
  3. All courseware, including session recordings, will always be available to access to you for future reference and rework.

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