Mahout Advanced Course, net Disk download: Link: http://pan.baidu.com/s/1dDGPM4x Password: PQDK
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Course Outline:
First week
Mahout Overview
Mahout Installation
Mahout Installation Test
Introduction to the Mahout algorithm library
Analytic Clustering algorithm
Analytic classification algorithm
Collaborative filtering algorithm
Second week
Clustering algorithm Detailed
Introduction of Canopy algorithm
1) Implementation principle of canopy algorithm in Mahout
2) Mahout's canopy algorithm combat
3) running the canopy algorithm above Hadoop
Second, mean shift algorithm
1) Introduction to mean shift algorithm
2) Implementation principle of mean shift algorithm in Mahout
3) Mahout's mean shift algorithm combat
4) run mean shift algorithm above Hadoop
Third week
K-means algorithm
1) Introduction to K-means algorithm
2) Implementation principle of K-means algorithm in Mahout
3) Mahout's K-means algorithm case
4) running the K-means algorithm above Hadoop
Week Four
Introduction to classification algorithms
1) Introduction to Bayesian algorithm
2) Bayesian Algorithm principle Introduction
3) Bayesian algorithm runs on Hadoop
4) Case study of Bayesian algorithm
Week Five
Introduction to Mahout recommendation algorithm
Introduction to the framework of taste
Mahout Recommender
1) User-based Recommender
2) Project-based Recommender
3) Slope one recommended strategy
Week Six
Recommended system Combat
1) Personalized Recommendation Introduction
2) Recommended modeling
3) Data Preparation
4) Correlation Analysis
5) Code Writing
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