Apache Mahout is an Apache TLP project to build powerful, scalable machine learning tools for use on analyzing big-data on distributed manner. Machine learning is the discipline of artificial intelligence that enables to learn data, spam filtering and natural language processing. Mahout enables clustering, dimensionality reduction and miscellaneous, being practically applied by Facebook, LinkedIn and twitter. Mahout training explains the key concepts like Collaborative filtering, Clustering and Categorization and how to implement scalable machine learning technique using Apache mahout.
Apache Mahout Training Overview
Mahout online Training enables collaborative teaching and Customized Curriculum. The Mahout training sessions, explain how to setup Apache mahout cluster, set up stack and grouping. Trainees would be working on real time projects using Mahout. We aim at providing conceptual training combined with practical demonstration and regular exercises.
Apache Mahout Training Curriculum
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.
In Mahout Training, you will know what is machine learning, what is Apache mahout and what is clustering.
Machine Learning Fundamentals
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.
Myrrix is a recommendation engine based on mahout, therefore this module is designed for mahout training and myrrix.
Mahout on Apache Hadoop
This module will focus on Recommendation algorithm and Mahout optimizations. Recommendations using Apache Mahout
Introduction to Recommendation systems
Content Based Mahout Optimizations.
This module will focus on Recommendation algorithm and Mahout optimizations.
Recommendations using Apache Mahout
Understanding the various recommendations, implementing Recommendors, different types of similarities in Apache mahout. User based recommendation
Item based Recommendation
Implementing a Recommender using MapReduce Platforms
Pearson’s Correlation Similarity
Log likelihood Similarity
Recommendation Engines (Online and Offline)
Recommendors in Production.
Understanding the various recommendations, implementing Recommendors, different types of similarities in Apache mahout.
User based recommendation
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
Clustering documents through example TF-IDF and Implementing clustering in Hadoop Classification.
This module is designed to give you thoroughly over the clustering concepts.
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
Training and evaluating a Classifier
Developing a Classifier
By the end of this training module, you will be able to develop a classifier on your own.
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
We’ll focus on Apache Mahout and Amazon EMR, have an overview on Weka, Octave Matlab and SAS.
Mahout on Amazon
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.
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.
Our trainers have relevant experience in implementing real-time solutions on different queries related to different topics. Mindmajix verifies their technical background and expertise.
We record each LIVE class session you undergo through and we will share the recordings of each session/class.
Trainer will provide the Environment/Server Access to the students and we ensure practical real-time experience and training by providing all the utilities required for the in-depth understanding of the course.
If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within 48 hours of initial registration. Please make a note that refunds will be processed within 30 days of prior request.
The Training itself is Real-time Project Oriented.
Yes. All the training sessions are LIVE Online Streaming using either through WebEx or GoToMeeting, thus promoting one-on-one trainer student Interaction.
There are some Group discounts available if the participants are more than 2.
As we are one of the leading providers of Online training, We have customers from USA, UK, Canada, Australia, UAE, Qatar, NZ, Singapore, Malaysia, India and other parts of the world. We are located in USA. Offering Online Training in Cities like
Minneapolis, Melbourne, Jacksonville, Davidson, Murfreesboro, Auckland, Carlsbad, San Marcos, Tacoma, Bellevue, Garland, Raleigh-Cary, Fort Lauderdale, Miami, Toronto, Wellington, Gilbert, Tempe, Alexandria, Chandler, Scottsdale, Peoria, Honolulu, Raleigh, Nashville, Plano, Montreal, Calgary, Edmonton, Saint John, Vancouver, Richmond, Mississauga, Saskatoon, Kingston, Kelowna, Hyderabad, Bangalore, Pune, Mumbai, Delhi, Dubai, Doha, Brisbane, Perth etc…
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