Machine Learning with Mahout Certification Training

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This course is designed to supply a blend of Machine learning & Big Data and where Mahout fits in the Hadoop Ecosystem.

Course Description

This course covers the fundamentals of machine learning techniques ranging from various Support Vector Machines algorithms, k-means clustering, Random Forests, Collaborative filtering to recommendation systems, Mahout on Hadoop and Amazon EMR, etc.

Apache Mahout is a robust, scalable machine-learning library that runs on top of Hadoop MapReduce. It is an open-source project primarily used to create scalable machine learning algorithms.

Analytics Professionals Data Scientists darting to hone their machine learning skills Software Developers and Architects Business Analysts wanting to understand Mahout for ML implementation Professionals are working with R, Matlab, Python, etc. Statisticians looking to know machine learning techniques Graduates aspiring to leap analytics domain

Apache Mahout is a robust, scalable machine-learning library that runs on top of Hadoop MapReduce. It is an open-source project mainly utilized to create scalable machine learning algorithms.

Machine learning is a branch of artificial intelligence (AI) and computer science that utilizes data and algorithms to mimic how humans learn, gradually improving accuracy.

AI and machine learning jobs have jumped by almost 75 per cent over the past four years and are poised to grow. Pursuing a machine learning career is a solid choice for a high-paying profession that will be in demand for decades.

Apache Mahout is utilized for building applications with machine-learning techniques such as clustering, categorization, and collaborative filtering for finding.

What you'll learn

  • In this course, you will learn: Mahout and Hadoop, Recommendation Engine, Mahout and Amazon EMR and more


  • basic Java and Hadoop knowledge is advised.


This module will give you an insight about what 'Machine Learning' is and How Apache Mahout algorithms are used in building intelligent applications.

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

In this module you will learn how to set up Mahout on Apache Hadoop. You will also get an understanding of Myrrix Machine Learning Platform

Mahout on Apache Hadoop setup
Mahout and Myrrix.

In this module you will get an understanding of the recommendation system in Mahout and different filtering methods

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

In this module you will learn about the Recommendation platforms and implement a Recommender using MapReduce.

User based recommendation
User Neighbourhood
Item based Recommendation
Implementing a Recommender using MapReduce
Media : Similarity Measures
Manhattan Distance
Euclidean Distance
Cosine Similarity
Pearson's Correlation Similarity
Loglikihood Similarity
Evaluating Recommendation Engines (Online and Offline)
Recommendors in Production

This module will help you in understanding 'Clustering' in Mahout and also give an overview of common Clustering Algorithms.

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

In this module you will get a clear understanding of Classifier and the common Classifier Algorithms.

are Basics
Predictor variables and Target variables
Common Algorithms
Navie Bayes
Random Forests
Training and evaluating a Classifier
Developing a Classifier

At the end of this module, you will get an understanding of how Mahout can be used on Amazon EMR Hadoop distribution

Mahout on Amazon EMR
Mahout Vs R
Introduction to tools like Weka


Edtia Support Team is for a lifetime and will be open 24/7 to help with your questions during and after completing the Machine Learning with Mahout Certification Training.

Best 7 Machine Learning Courses in 2022: Machine Learning — Coursera. Deep Learning Specialization — Coursera. Machine Learning Crash Course — Google AI. Machine Learning with Python — Coursera. Advanced Machine Learning Specialization — Coursera. Machine Learning — EdX.

The average salary for a Machine Learning Engineer is $145,297.

To better understand the course, one must learn as per the curriculum.

To study and convert data science prototypes. To create and design Machine Learning systems and schemes. To conduct statistical analysis and fine-tune models using test results. To find available datasets online for training purposes.

Applied Mathematics. Maths is quite an essential skill in the arsenal of a Machine Learning engineer. Computer Science Fundamentals and Programming. Data Modeling and Evaluation. Neural Networks. Natural Language Processing. Communication Skills.

Although many of the advanced machine learning tools are challenging to operate and need advanced knowledge in advanced mathematics, statistics, and software engineering, beginners can do a lot with the basics, which are widely accessible.

$189 $199
$10 Off

Training Course Features


Every certification training session is followed by a quiz to assess your course learning.

Mock Tests
Mock Tests

The Mock Tests Are Arranged To Help You Prepare For The Certification Examination.

Lifetime Access
Lifetime Access

A lifetime access to LMS is provided where presentations, quizzes, installation guides & class recordings are available.

24x7 Expert Support
24x7 Expert Support

A 24x7 online support team is available to resolve all your technical queries, through a ticket-based tracking system.


For our learners, we have a community forum that further facilitates learning through peer interaction and knowledge sharing.


Successfully complete your final course project and Edtia will provide you with a completion certification.

Machine Learning with Mahout Certification Training

Machine Learning with Mahout Training demonstrates that the holder has the proficiency and aptitudes needed to work with Linux.

By enrolling in the Machine Learning with Mahout Training and completing the module, you can get the Edtia Machine Learning with Mahout Training Certification.

Machine Learning with Mahout Certification Training will allow you to master Mahout for big data and machine learning concepts. Understanding these will help you advance your career.

If you're ready for a career in a stable and high-paying field, Machine Learning with Mahout might be right for you, and this Certification is the place to start.

demo certificate


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