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Machine Learning with BigData using R

Posted by Super User
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Detailed Course Contents

       Introduction to the R platform

       Installing and Starting R o R Interactive Environment o R Scripts

       Quick R for developers

      o Assignment

  o Data -Structures

  o Flow Control

  o Functions

  o Packages

       Data Wrangling & Dealing with Data sets in R.

       Using Descriptive Statistics with R

  o Data exploration and walk-through

  o Dimensions of Data

  o Data -Types

  o Class Distribution

  o Summary Statistics

  o Standard Deviations

  o Skewness

  o Correlations 

       Data Visualization o Visualization Packages in R o Examples Univariate -Visualization o Examples Multivariate-Visualization o Data Visualization, guidelines, and tricks. 

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DevOps Fundamentals

Posted by Super User
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1. DEVOPS INTRODUCTION, 2. CLOUD TECHNICAL INTRODUCTION, 3. STANDING UP DEVOPS, 4. DEVOPS TOOLS, 5. INTRODUCTION TO PUPPET, 6. CONTAINERIZATION SYSTEMS OVERVIEW, 7. LXC INTRODUCTION

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Introduction to MapReduce Programming

Posted by Super User
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This course explains the use of the mapper and reducer classes that make up a MapReduce application and where they get invoked in the application process. The student is walked through the development of a simple MapReduce application using a development environment based on Eclipse. Then the student goes through the same process but using a MapReduce development wizard to speed up development

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