SlideShare a Scribd company logo
1 of 40
Orchestrating the Intelligent Web with Apache Mahout Presented by Aneesha Bakharia Twitter: aneesha Email: aneesha.bakharia@gmail.com
What is Apache Mahout? ,[object Object],[object Object],[object Object],[object Object]
What’s in a Name? ,[object Object]
What is Apache Mahout? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
A New Breed of Developer ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object]
[object Object]
Where people swear in the United States? http://flowingdata.com/2011/01/25/where-people-swear-in-the-united-states/
Algorithms is Apache Mahout ,[object Object],[object Object],[object Object],[object Object]
Algorithms is Apache Mahout ,[object Object],[object Object]
Requirements ,[object Object],[object Object],[object Object]
Running Mahout ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Running Mahout ,[object Object]
Running Mahout ,[object Object],[object Object],[object Object]
Clustering ,[object Object],[object Object],[object Object]
Clustering ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Vectors ,[object Object]
Range of Vectorization Tools ,[object Object],[object Object],[object Object],[object Object]
kmeans Example ,[object Object],[object Object],[object Object],[object Object],[object Object]
Easy enough, but ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Recommender Engines ,[object Object],[object Object],[object Object]
Recomendation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Frequent Pattern Mining ,[object Object],[object Object],[object Object]
Classification ,[object Object],[object Object],[object Object],[object Object]
Classification ,[object Object],[object Object],[object Object]
Latent Dirichlet Allocation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Latent Dirichlet Allocation ,[object Object],[object Object],[object Object],[object Object],Term-Document Matrix Specify No Themes (k) Topic to Word Mapping X Tweet to Topic Mapping Word 1 Word 2 Word n Doc 1 1 0 2 Doc 2 0 1 0 Doc 3 0 1 1 Word 1 Word 2 Word n Topic 1 0.5 0 1 Topic 2 0 0.5 0 Topic 1 Topic 2 Doc 1 1 0 Doc 2 0 1 Doc 3 0 1
Latent Dirichlet Allocation ,[object Object],[object Object]
Suggesting Twitter Lists ,[object Object],[object Object],[object Object]
Suggesting Twitter Lists ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Suggesting Twitter Lists ,[object Object],[object Object],[object Object],[object Object],[object Object]
Gently Getting into Machine Learning and Data Mining ,[object Object],[object Object]
Summary ,[object Object],[object Object],[object Object]
Fascinating Algorithms ,[object Object],[object Object]
Fascinating Algorithms ,[object Object]
Fascinating Algorithms ,[object Object]
Disturbing Algorithms ,[object Object]
Disturbing Algorithms ,[object Object]
Disturbing Algorithms ,[object Object],Image from Shrek Copyright Dreamworks
Discussion/Questions ,[object Object]

More Related Content

What's hot

An Introduction to Apache Hadoop, Mahout and HBase
An Introduction to Apache Hadoop, Mahout and HBaseAn Introduction to Apache Hadoop, Mahout and HBase
An Introduction to Apache Hadoop, Mahout and HBase
Lukas Vlcek
 
Introduction to Collaborative Filtering with Apache Mahout
Introduction to Collaborative Filtering with Apache MahoutIntroduction to Collaborative Filtering with Apache Mahout
Introduction to Collaborative Filtering with Apache Mahout
sscdotopen
 
Where Search Meets Machine Learning: Presented by Diana Hu & Joaquin Delgado,...
Where Search Meets Machine Learning: Presented by Diana Hu & Joaquin Delgado,...Where Search Meets Machine Learning: Presented by Diana Hu & Joaquin Delgado,...
Where Search Meets Machine Learning: Presented by Diana Hu & Joaquin Delgado,...
Lucidworks
 
OSCON: Apache Mahout - Mammoth Scale Machine Learning
OSCON: Apache Mahout - Mammoth Scale Machine LearningOSCON: Apache Mahout - Mammoth Scale Machine Learning
OSCON: Apache Mahout - Mammoth Scale Machine Learning
Robin Anil
 

What's hot (20)

Apache Mahout Architecture Overview
Apache Mahout Architecture OverviewApache Mahout Architecture Overview
Apache Mahout Architecture Overview
 
Intro to Mahout -- DC Hadoop
Intro to Mahout -- DC HadoopIntro to Mahout -- DC Hadoop
Intro to Mahout -- DC Hadoop
 
Scalable Collaborative Filtering Recommendation Algorithms on Apache Spark
Scalable Collaborative Filtering Recommendation Algorithms on Apache SparkScalable Collaborative Filtering Recommendation Algorithms on Apache Spark
Scalable Collaborative Filtering Recommendation Algorithms on Apache Spark
 
Mahout Tutorial and Hands-on (version 2015)
Mahout Tutorial and Hands-on (version 2015)Mahout Tutorial and Hands-on (version 2015)
Mahout Tutorial and Hands-on (version 2015)
 
Text Classification in Python – using Pandas, scikit-learn, IPython Notebook ...
Text Classification in Python – using Pandas, scikit-learn, IPython Notebook ...Text Classification in Python – using Pandas, scikit-learn, IPython Notebook ...
Text Classification in Python – using Pandas, scikit-learn, IPython Notebook ...
 
An Introduction to Apache Hadoop, Mahout and HBase
An Introduction to Apache Hadoop, Mahout and HBaseAn Introduction to Apache Hadoop, Mahout and HBase
An Introduction to Apache Hadoop, Mahout and HBase
 
Introduction to Collaborative Filtering with Apache Mahout
Introduction to Collaborative Filtering with Apache MahoutIntroduction to Collaborative Filtering with Apache Mahout
Introduction to Collaborative Filtering with Apache Mahout
 
Whats Right and Wrong with Apache Mahout
Whats Right and Wrong with Apache MahoutWhats Right and Wrong with Apache Mahout
Whats Right and Wrong with Apache Mahout
 
Text classification in scikit-learn
Text classification in scikit-learnText classification in scikit-learn
Text classification in scikit-learn
 
Introduction to Mahout
Introduction to MahoutIntroduction to Mahout
Introduction to Mahout
 
Apache mahout
Apache mahoutApache mahout
Apache mahout
 
Tutorial Mahout - Recommendation
Tutorial Mahout - RecommendationTutorial Mahout - Recommendation
Tutorial Mahout - Recommendation
 
Apache Mahout Tutorial - Recommendation - 2013/2014
Apache Mahout Tutorial - Recommendation - 2013/2014 Apache Mahout Tutorial - Recommendation - 2013/2014
Apache Mahout Tutorial - Recommendation - 2013/2014
 
Where Search Meets Machine Learning: Presented by Diana Hu & Joaquin Delgado,...
Where Search Meets Machine Learning: Presented by Diana Hu & Joaquin Delgado,...Where Search Meets Machine Learning: Presented by Diana Hu & Joaquin Delgado,...
Where Search Meets Machine Learning: Presented by Diana Hu & Joaquin Delgado,...
 
Apache Mahout
Apache MahoutApache Mahout
Apache Mahout
 
Machine Learning with Hadoop
Machine Learning with HadoopMachine Learning with Hadoop
Machine Learning with Hadoop
 
OSCON: Apache Mahout - Mammoth Scale Machine Learning
OSCON: Apache Mahout - Mammoth Scale Machine LearningOSCON: Apache Mahout - Mammoth Scale Machine Learning
OSCON: Apache Mahout - Mammoth Scale Machine Learning
 
mahout introduction
mahout  introductionmahout  introduction
mahout introduction
 
Apache Mahout 於電子商務的應用
Apache Mahout 於電子商務的應用Apache Mahout 於電子商務的應用
Apache Mahout 於電子商務的應用
 
Logistic Regression using Mahout
Logistic Regression using MahoutLogistic Regression using Mahout
Logistic Regression using Mahout
 

Similar to Orchestrating the Intelligent Web with Apache Mahout

Vipul divyanshu mahout_documentation
Vipul divyanshu mahout_documentationVipul divyanshu mahout_documentation
Vipul divyanshu mahout_documentation
Vipul Divyanshu
 
Recommender.system.presentation.pjug.05.20.2014
Recommender.system.presentation.pjug.05.20.2014Recommender.system.presentation.pjug.05.20.2014
Recommender.system.presentation.pjug.05.20.2014
rpbrehm
 

Similar to Orchestrating the Intelligent Web with Apache Mahout (20)

Building and deploying LLM applications with Apache Airflow
Building and deploying LLM applications with Apache AirflowBuilding and deploying LLM applications with Apache Airflow
Building and deploying LLM applications with Apache Airflow
 
Unified Big Data Processing with Apache Spark
Unified Big Data Processing with Apache SparkUnified Big Data Processing with Apache Spark
Unified Big Data Processing with Apache Spark
 
Vipul divyanshu mahout_documentation
Vipul divyanshu mahout_documentationVipul divyanshu mahout_documentation
Vipul divyanshu mahout_documentation
 
Overview of VS2010 and .NET 4.0
Overview of VS2010 and .NET 4.0Overview of VS2010 and .NET 4.0
Overview of VS2010 and .NET 4.0
 
Recommender.system.presentation.pjug.05.20.2014
Recommender.system.presentation.pjug.05.20.2014Recommender.system.presentation.pjug.05.20.2014
Recommender.system.presentation.pjug.05.20.2014
 
Boulder/Denver BigData: Cluster Computing with Apache Mesos and Cascading
Boulder/Denver BigData: Cluster Computing with Apache Mesos and CascadingBoulder/Denver BigData: Cluster Computing with Apache Mesos and Cascading
Boulder/Denver BigData: Cluster Computing with Apache Mesos and Cascading
 
Hybrid Cloud, Kubeflow and Tensorflow Extended [TFX]
Hybrid Cloud, Kubeflow and Tensorflow Extended [TFX]Hybrid Cloud, Kubeflow and Tensorflow Extended [TFX]
Hybrid Cloud, Kubeflow and Tensorflow Extended [TFX]
 
MLOps pipelines using MLFlow - From training to production
MLOps pipelines using MLFlow - From training to productionMLOps pipelines using MLFlow - From training to production
MLOps pipelines using MLFlow - From training to production
 
Real time analytics
Real time analyticsReal time analytics
Real time analytics
 
New-Age Search through Apache Solr
New-Age Search through Apache SolrNew-Age Search through Apache Solr
New-Age Search through Apache Solr
 
NYC_2016_slides
NYC_2016_slidesNYC_2016_slides
NYC_2016_slides
 
From Pandas to Koalas: Reducing Time-To-Insight for Virgin Hyperloop's Data
From Pandas to Koalas: Reducing Time-To-Insight for Virgin Hyperloop's DataFrom Pandas to Koalas: Reducing Time-To-Insight for Virgin Hyperloop's Data
From Pandas to Koalas: Reducing Time-To-Insight for Virgin Hyperloop's Data
 
Mahout Introduction BarCampDC
Mahout Introduction BarCampDCMahout Introduction BarCampDC
Mahout Introduction BarCampDC
 
Big Data Everywhere Chicago: Apache Spark Plus Many Other Frameworks -- How S...
Big Data Everywhere Chicago: Apache Spark Plus Many Other Frameworks -- How S...Big Data Everywhere Chicago: Apache Spark Plus Many Other Frameworks -- How S...
Big Data Everywhere Chicago: Apache Spark Plus Many Other Frameworks -- How S...
 
6° Sessione - Ambiti applicativi nella ricerca di tecnologie statistiche avan...
6° Sessione - Ambiti applicativi nella ricerca di tecnologie statistiche avan...6° Sessione - Ambiti applicativi nella ricerca di tecnologie statistiche avan...
6° Sessione - Ambiti applicativi nella ricerca di tecnologie statistiche avan...
 
Strata NYC 2015 - What's coming for the Spark community
Strata NYC 2015 - What's coming for the Spark communityStrata NYC 2015 - What's coming for the Spark community
Strata NYC 2015 - What's coming for the Spark community
 
The Future of Computing is Distributed
The Future of Computing is DistributedThe Future of Computing is Distributed
The Future of Computing is Distributed
 
Terraform modules restructured
Terraform modules restructuredTerraform modules restructured
Terraform modules restructured
 
Terraform Modules Restructured
Terraform Modules RestructuredTerraform Modules Restructured
Terraform Modules Restructured
 
Near Real Time Indexing Kafka Messages into Apache Blur: Presented by Dibyend...
Near Real Time Indexing Kafka Messages into Apache Blur: Presented by Dibyend...Near Real Time Indexing Kafka Messages into Apache Blur: Presented by Dibyend...
Near Real Time Indexing Kafka Messages into Apache Blur: Presented by Dibyend...
 

Recently uploaded

+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@
 

Recently uploaded (20)

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot ModelNavi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 

Orchestrating the Intelligent Web with Apache Mahout

  • 1. Orchestrating the Intelligent Web with Apache Mahout Presented by Aneesha Bakharia Twitter: aneesha Email: aneesha.bakharia@gmail.com
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8. Where people swear in the United States? http://flowingdata.com/2011/01/25/where-people-swear-in-the-united-states/
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.
  • 29.
  • 30.
  • 31.
  • 32.
  • 33.
  • 34.
  • 35.
  • 36.
  • 37.
  • 38.
  • 39.
  • 40.