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Apache Mahout Course Description

Apache Mahout is a framework for quickly creating scalable performant machine learning applications. Learn how to setup Apache mahout cluster, to build and customize scalable machine-learning algorithms using Apache Mahout.

This Mahout Training is a comprehensive online training course on Mahout and machine-learning algorithms. It covers Introduction to Mahout, Machine-learning, Recommendations using Mahout, Classifiers and Recommenders, a Collaborative Filtering process, Clustering process, Document Clustering, Classification Data, Pattern Mining, Pearson Correlation and Frequent Pattern Growth.

 

Apache Mahout Course Learning Outcomes;

  • Understand Machine-learning techniques with Mahout
  • Execute Collaborative Filtering and Pearson Coefficient Algorithm
  • Implement Recommender using MapReduce
  • Understand the use of Clustering and Vectorizing documents (unstructured data)
  • Gain insight into Classifiable Data
  • Learn the concept of Logistic Regression
  • Understand Euclidean Distance Measure basic concepts

 

Apache Mahout Training – Suggested Audience

Suggested audience are;

  • Data Analysts
  • Data scientists
  • Software Developers
  • System Administrators
  • Software testers
  • Search analysts
  • IT Engineer
  • Professionals working with Hadoop, Big Data and Machine Learning
  • Graduates aiming to build career in Data Analytics

 

Mahout Machine Learning Training – Prerequisites

Java Programming basics will be beneficial.

 

Apache Mahout In-house/Corporate Training

If you have a group of 5-6 participants, apply for in-house training. For commercials please send us an email with group size to hello@pincorps.com

Course Curriculum

1. Mahout Overview
2. Mahout Recommendations
3. Clustering Session 1
4. Clustering Session 2
5. Classification Session 1
6. Clustering and Classification Session 2
7. Pattern Mining

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