Apache Mahout - Advanced Training Syllabus

Curriculum Designed by Experts

Recommendation Engine
Intro to recommendation systems
Content Based
Collaborative filtering
User based
Threshold
Item based
Mahout Optimizations
An overview of a recommendation platform

  • Similarity measures
  • Manhattan distance
  • Euclidean distance
  • Cosine Similarity
  • Pearson's Correlation Similarity
  • Loglikihood Similarity

Tanimoto
Evaluating Recommendation engines

  • Online
  • Offline

Intro to Clustering

  • Common Clustering Algorithms
  • K-means
  • Fuzzy K-means, Mean Shift etc
  • Representing data
  • Feature Selection
  • Vectorization
  • Representing Vectors

Intro to Classification
Basics
Common Algorithms

  • Mahout on Hadoop
  • Apache Mahout & Myrrix

Mahout on Amazon EMR

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