Mahout Advanced Courses | Mahout Video Tutorial

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Mahout Advanced Course, net Disk download: Link: http://pan.baidu.com/s/1dDGPM4x Password: PQDK


Please add qq:3113533060 if the net disk is invalid.


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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Mahout Advanced Courses | Mahout Video Tutorial

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