Apache Mahout Online Training Modules Overview

Introduction to Machine Learning and Mahout

• In Mahout Training, you will know what machine learning is, what Apache Mahout is 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

Apache Mahout And Hadoop

• 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.

Recommendation Engine In Mahout Training

• This module will focus on Recommendation algorithm and Mahout optimizations.
• Recommendations using Apache Mahout
• Introduction to Recommendation systems
• Content Based Mahout Optimizations.

Implementing A Recommender And Recommendation Platform

• 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.

Clustering

• 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.

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

Apache Mahout and Amazon EMR

• 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

Project Included In Mahout Training

• 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.

Job Opportunities in Apache Mahout

Who wouldn’t prefer a job that assures a fast paced global career, higher than average perks? The job opportunities in the domain of Apache Mahout are quite plenty. And with the increase in the colossal demand for the qualified experts across the top industries, more & more number of aspirants are planning towards securing their career in this domain. And also in response to the whooping salary packages for the certified professionals in this domain most of the professionals who are working in other prominent technologies are working towards making a career transition into this domain. Apache Mahout Online Training by SacrosTek Systems will set you on the right career path of achieving success in this domain.

SacrosTek Systems offer certification programs for Apache Mahout. Certificates are issues on successful completion of the course and the assessment examination. Students are requested to participate in the real-time project program to get first-hand experience on the usage and application of the Apache Mahout. The real-time projects are designed by our team of industry experts to help students get best possible exposure to the Apache Mahout and its applications.