Hadoop mahout Data Mining Video tutorial

Hadoop mahout Data Mining Practice (algorithm analysis, Project combat, Chinese word segmentation technology)

Suitable for people: advanced

Number of lessons: 17 hours

Using the technology: MapReduce parallel word breaker Mahout

Projects involved: Hadoop Integrated Combat-text mining project mahout Data Mining tools

Consulting qq:1840215592

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Course Introduction

This course covers the following topics:

1. Mahout Data Mining Tools

2, Hadoop implementation of the comprehensive recommendation system, involving the mapreduce, pig and mahout comprehensive combat

Courses for people

1, this course is suitable for a certain Java basic knowledge, database and SQL statements have a certain understanding of the skilled use of Linux system technical staff, especially for those who want to change jobs or seek a high-paying career

2, preferably have greenplum Hadoop, Hadoop2.0, YARN, Sqoop, Flumeavro, Mahout and other Big Data Foundation, learn the North wind course "Greenplum Distributed database development Introduction to Mastery", " Comprehensive in-depth greenplum Hadoop Big Data analysis platform, "Hadoop2.0, yarn in layman", "MapReduce, HBase Advanced Ascension", "MapReduce, HBase Advanced Promotion" for the best.

Course Outline

Mahout Data Mining Tools (10 hours)

Data mining concepts, system composition

Common methods and algorithms for data Mining (regression analysis, classification, clustering, etc.)

Data Mining analysis tools

Mahout supported Algorithms

Mahout origin and characteristics

Mahout installation, configuration and testing

Actual combat: Mahout K-means Cluster analysis

Mahout implementation of canopy algorithm

Mahout Implementation Classification algorithm

Actual combat: Mahout Logistic Regression classification prediction

Actual combat: Mahout naive Bayesian classification

Concept and classification of recommendation systems

Concept, classification and application of collaborative filtering recommendation algorithm

Actual combat: Implementation of Mahout-based film recommendation system

Hadoop Integrated Combat-text mining project (7 hours)

The concept of text mining and its application scenario

Project background

Project Flow

Chinese Word segmentation technology

The use of Cook looked through word breaker

Design and implementation of MapReduce parallel Word segmentation Program

Pig Partition Data Set

Mahout constructing naive Bayesian text classifier

Model application-Calculating user preference categories

Hadoop mahout Data Mining Video tutorial