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Learn how to use Apache Mahout. Mindmajix Apache Mahout training helps you to learn tasks in Apache Mahout, Learning Tools for use on analyzing Big-data, how to setup Apache mahout cluster, History of Mahout…etc.
Course Coverage
You will be exposed to the complete Apache Mahout Trainingcourse details in the below sections.
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.
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.
This module will focus on Recommendation algorithm and Mahout optimizations.
Recommendations using Apache Mahout
Introduction to Recommendation systems
Content Based Mahout Optimizations.
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.
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.
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
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
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.
Most of the Apache Mahout Jobs in the industry expect the following add-on skills. Hence, we offer these skills-set as FREE Courses (Basics) to ease your learning process and help you stay ahead of the competition.
Our Apache Mahout Training course aims to deliver quality training that covers solid fundamental knowledge on core concepts with a practical approach. Such exposure to the current industry use-cases and scenarios will help learners scale up their skills and perform real-time projects with the best practices.
Training Options30 hrs of Self-Paced Videos
Get Pricing
30 hrs of Remote Classes in Zoom/Google meet
2025 Batches
Start - End
Time
Weekdays
May 06 - May 21
07:00 PM
Weekend
May 10 - May 25
07:00 PM
Weekdays
May 13 - May 28
09:00 AM
Weekend
May 17 - Jun 01
09:00 AM
Customize your schedule here
Empower your team with new skills to Enhance their performance and productivity.
Passing Apache Mahout Quizzes & Assessment exams is mandatory to attain the Apache Mahout Course Completion certificate
On-Job Support Service
Our work-support plans provide precise options as per your project tasks. Whether you are a newbie or an experienced professional seeking assistance in completing project tasks, we are here with the following plans to meet your custom needs:
Choose from our Self-Paced learning library based on trending job Roles or Career Paths at a Discounted price.
