Mahout Training in Minneapolis

Mahout Training in Minneapolis
Mahout - scalable machine learning and data mining courses

MN, Minneapolis - Minnesota Center

7760 France Avenue South 11th Floor
55435 Minneapolis , MN
United States
Minnesota US
 MN, Minneapolis - Minnesota Center

Mahout Course Events - Minneapolis

Code Name Venue Duration Course Date PHP Course Price [Remote / Classroom]
apachemdev Apache Mahout for Developers MN, Minneapolis - Fifth Street Towers 14 hours Tue, Jun 20 2017, 9:30 am $5500 / $7340
apachemdev Apache Mahout for Developers MN, Minneapolis - Minnesota Center 14 hours Tue, Jun 27 2017, 9:30 am $5500 / $7250
apachemdev Apache Mahout for Developers MN, Eagan - Grand Oak I 14 hours Wed, Jul 12 2017, 9:30 am $5500 / $7340
apachemdev Apache Mahout for Developers MN, Minneapolis - Fifth Street Towers 14 hours Wed, Aug 9 2017, 9:30 am $5500 / $7340
apachemdev Apache Mahout for Developers MN, Minneapolis - Minnesota Center 14 hours Wed, Aug 16 2017, 9:30 am $5500 / $7250
apachemdev Apache Mahout for Developers MN, Eagan - Grand Oak I 14 hours Thu, Aug 31 2017, 9:30 am $5500 / $7340
apachemdev Apache Mahout for Developers MN, Minneapolis - Fifth Street Towers 14 hours Mon, Oct 2 2017, 9:30 am $5500 / $7340
apachemdev Apache Mahout for Developers MN, Minneapolis - Minnesota Center 14 hours Thu, Oct 5 2017, 9:30 am $5500 / $7250
apachemdev Apache Mahout for Developers MN, Eagan - Grand Oak I 14 hours Tue, Oct 24 2017, 9:30 am $5500 / $7340
apachemdev Apache Mahout for Developers MN, Minneapolis - Fifth Street Towers 14 hours Tue, Nov 21 2017, 9:30 am $5500 / $7340

Course Outlines

Code Name Duration Outline
apachemdev Apache Mahout for Developers 14 hours

Audience

Developers involved in projects that use machine learning with Apache Mahout.

Format

Hands on introduction to machine learning. The course is delivered in a lab format based on real world practical use cases.

Implementing Recommendation Systems with Mahout

  • Introduction to recommender systems
  • Representing recommender data
  • Making recommendation
  • Optimizing recommendation

Clustering

  • Basics of clustering
  • Data representation
  • Clustering algorithms
  • Clustering quality improvements
  • Optimizing clustering implementation
  • Application of clustering in real world

Classification

  • Basics of classification
  • Classifier training
  • Classifier quality improvements

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Consulting

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