�ݺ�ߣshows by User: mdabrowski

�ݺ�ߣshows by User: mdabrowski / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: mdabrowski / Fri, 03 Nov 2017 10:25:22 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: mdabrowski Spark Summit Europe 2017 - Applying multiple ML pipelines to heterogenous data streams /mdabrowski/spark-summit-europe-2017-applying-multiple-ml-pipelines-to-heterogenous-data-streams altocloud-2017-summit-europe-final-171103102523
Spark Summit Europe 2017 Applying Multiple ML Pipelines to heterogenous data streams This talk explains how we adapted Spark mllib to deploy hundreds of ML pipelines in one streaming job to make real time predictions on heterogenous data streams.]]>
Spark Summit Europe 2017 Applying Multiple ML Pipelines to heterogenous data streams This talk explains how we adapted Spark mllib to deploy hundreds of ML pipelines in one streaming job to make real time predictions on heterogenous data streams.]]> Fri, 03 Nov 2017 10:25:22 GMT /mdabrowski/spark-summit-europe-2017-applying-multiple-ml-pipelines-to-heterogenous-data-streams mdabrowski@slideshare.net(mdabrowski) Spark Summit Europe 2017 - Applying multiple ML pipelines to heterogenous data streams mdabrowski Spark Summit Europe 2017 Applying Multiple ML Pipelines to heterogenous data streams This talk explains how we adapted Spark mllib to deploy hundreds of ML pipelines in one streaming job to make real time predictions on heterogenous data streams. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/altocloud-2017-summit-europe-final-171103102523-thumbnail.jpg?width=120&height=120&fit=bounds" /> Spark Summit Europe 2017 Applying Multiple ML Pipelines to heterogenous data streams This talk explains how we adapted Spark mllib to deploy hundreds of ML pipelines in one streaming job to make real time predictions on heterogenous data streams.

Spark Summit Europe 2017 - Applying multiple ML pipelines to heterogenous data streams from mdabrowski

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0 2017 05 Hadoop User Group Meetup Dublin /slideshow/2017-05-hadoop-user-group-meetup-dublin/76120104 2017-05hug-170519082553
An introduction to data analytics and AI at Altocloud using #Spark, #Cassandra, #Kafka. #AI, #ML]]>
An introduction to data analytics and AI at Altocloud using #Spark, #Cassandra, #Kafka. #AI, #ML]]> Fri, 19 May 2017 08:25:53 GMT /slideshow/2017-05-hadoop-user-group-meetup-dublin/76120104 mdabrowski@slideshare.net(mdabrowski) 2017 05 Hadoop User Group Meetup Dublin mdabrowski An introduction to data analytics and AI at Altocloud using #Spark, #Cassandra, #Kafka. #AI, #ML <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2017-05hug-170519082553-thumbnail.jpg?width=120&height=120&fit=bounds" /> An introduction to data analytics and AI at Altocloud using #Spark, #Cassandra, #Kafka. #AI, #ML

2017 05 Hadoop User Group Meetup Dublin from mdabrowski

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0 The true meaning of data /slideshow/the-true-meaning-of-data/64105267 thetruemeaningofdata-160717215714
A story of how Data Science can or should be used to tell the true story about the data. ]]>
A story of how Data Science can or should be used to tell the true story about the data. ]]> Sun, 17 Jul 2016 21:57:14 GMT /slideshow/the-true-meaning-of-data/64105267 mdabrowski@slideshare.net(mdabrowski) The true meaning of data mdabrowski A story of how Data Science can or should be used to tell the true story about the data. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/thetruemeaningofdata-160717215714-thumbnail.jpg?width=120&height=120&fit=bounds" /> A story of how Data Science can or should be used to tell the true story about the data.

The true meaning of data from mdabrowski

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0 Near real-time recommendations in enterprise social networks /slideshow/near-realtime-recommendations-in-enterprise-social-networks/24093458 mendeley-workshop-130710063611-phpapp02
- how to compute recommendations using a graph with 40m edges and 11m nodes in 0.2s (200ms) - new perspective on near real-time social recommendations in enterprise social platforms using Linked Data - recommender system that is easy to integrate with social networks and legacy data - application of data analytics in enterprise context]]>
- how to compute recommendations using a graph with 40m edges and 11m nodes in 0.2s (200ms) - new perspective on near real-time social recommendations in enterprise social platforms using Linked Data - recommender system that is easy to integrate with social networks and legacy data - application of data analytics in enterprise context]]> Wed, 10 Jul 2013 06:36:11 GMT /slideshow/near-realtime-recommendations-in-enterprise-social-networks/24093458 mdabrowski@slideshare.net(mdabrowski) Near real-time recommendations in enterprise social networks mdabrowski - how to compute recommendations using a graph with 40m edges and 11m nodes in 0.2s (200ms) - new perspective on near real-time social recommendations in enterprise social platforms using Linked Data - recommender system that is easy to integrate with social networks and legacy data - application of data analytics in enterprise context <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mendeley-workshop-130710063611-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> - how to compute recommendations using a graph with 40m edges and 11m nodes in 0.2s (200ms) - new perspective on near real-time social recommendations in enterprise social platforms using Linked Data - recommender system that is easy to integrate with social networks and legacy data - application of data analytics in enterprise context

Near real-time recommendations in enterprise social networks from mdabrowski

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0 Applications of the Social Semantic Web /slideshow/applications-of-the-social-semantic-web/22769507 session21-130610182435-phpapp02
Applications of the Social Semantic Web: 1. DOMAINS 2. LINKED OPEN DATA 3. ENTEPRISE 2.0 4. THE WEB �]]>
Applications of the Social Semantic Web: 1. DOMAINS 2. LINKED OPEN DATA 3. ENTEPRISE 2.0 4. THE WEB �]]> Mon, 10 Jun 2013 18:24:35 GMT /slideshow/applications-of-the-social-semantic-web/22769507 mdabrowski@slideshare.net(mdabrowski) Applications of the Social Semantic Web mdabrowski Applications of the Social Semantic Web: 1. DOMAINS 2. LINKED OPEN DATA 3. ENTEPRISE 2.0 4. THE WEB � <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/session21-130610182435-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Applications of the Social Semantic Web: 1. DOMAINS 2. LINKED OPEN DATA 3. ENTEPRISE 2.0 4. THE WEB �

Applications of the Social Semantic Web from mdabrowski

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0 Short guide to the Semantic Web /slideshow/what-you-have-to-know-to-understand-the-semantic-web/22768084 semanticweb-130610173135-phpapp02
Key ingredients of the Semantic Web explained in 30 minutes.: 1. WHAT IS THE GOAL? 2. WHAT ARE THE BUILDING BLOCKS? 3. HOW DO WE CREATE THE GRAPH? WHY LINKED DATA? 4. SHORT INTRODUCTION TO ONTOLOGIE�S]]>
Key ingredients of the Semantic Web explained in 30 minutes.: 1. WHAT IS THE GOAL? 2. WHAT ARE THE BUILDING BLOCKS? 3. HOW DO WE CREATE THE GRAPH? WHY LINKED DATA? 4. SHORT INTRODUCTION TO ONTOLOGIE�S]]> Mon, 10 Jun 2013 17:31:35 GMT /slideshow/what-you-have-to-know-to-understand-the-semantic-web/22768084 mdabrowski@slideshare.net(mdabrowski) Short guide to the Semantic Web mdabrowski Key ingredients of the Semantic Web explained in 30 minutes.: 1. WHAT IS THE GOAL? 2. WHAT ARE THE BUILDING BLOCKS? 3. HOW DO WE CREATE THE GRAPH? WHY LINKED DATA? 4. SHORT INTRODUCTION TO ONTOLOGIE�S <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/semanticweb-130610173135-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Key ingredients of the Semantic Web explained in 30 minutes.: 1. WHAT IS THE GOAL? 2. WHAT ARE THE BUILDING BLOCKS? 3. HOW DO WE CREATE THE GRAPH? WHY LINKED DATA? 4. SHORT INTRODUCTION TO ONTOLOGIE�S

Short guide to the Semantic Web from mdabrowski

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0 Introduction to the Social Semantic Web /slideshow/introduction-to-the-social-semantic-web/22767734 session12-130610171851-phpapp01
OVERVIEW: 1. INTRODUCTION TO THE SEMANTIC WEB 2. PRINCIPLES OF LINKED DATA 3. THE SOCIAL SEMANTIC WEB 4. VALUE OF THE SOCIAL SEMANTIC GRAPH ]]>
OVERVIEW: 1. INTRODUCTION TO THE SEMANTIC WEB 2. PRINCIPLES OF LINKED DATA 3. THE SOCIAL SEMANTIC WEB 4. VALUE OF THE SOCIAL SEMANTIC GRAPH ]]> Mon, 10 Jun 2013 17:18:51 GMT /slideshow/introduction-to-the-social-semantic-web/22767734 mdabrowski@slideshare.net(mdabrowski) Introduction to the Social Semantic Web mdabrowski OVERVIEW: 1. INTRODUCTION TO THE SEMANTIC WEB 2. PRINCIPLES OF LINKED DATA 3. THE SOCIAL SEMANTIC WEB 4. VALUE OF THE SOCIAL SEMANTIC GRAPH � <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/session12-130610171851-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> OVERVIEW: 1. INTRODUCTION TO THE SEMANTIC WEB 2. PRINCIPLES OF LINKED DATA 3. THE SOCIAL SEMANTIC WEB 4. VALUE OF THE SOCIAL SEMANTIC GRAPH �

Introduction to the Social Semantic Web from mdabrowski

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0 Introduction to the Social Web and its applications /slideshow/introduction-to-the-social-web-and-its-applications/22765627 session11-130610160557-phpapp02
Session 1.1 Introduction to the Social Web and its Applications A guest teaching module at the University of Modena/Reggio Emilia, covering topics: - what is social media? - wikis, blogs, microblogs, ... - examples of social networks - interesting social network usage stats - culture of social networking]]>
Session 1.1 Introduction to the Social Web and its Applications A guest teaching module at the University of Modena/Reggio Emilia, covering topics: - what is social media? - wikis, blogs, microblogs, ... - examples of social networks - interesting social network usage stats - culture of social networking]]> Mon, 10 Jun 2013 16:05:57 GMT /slideshow/introduction-to-the-social-web-and-its-applications/22765627 mdabrowski@slideshare.net(mdabrowski) Introduction to the Social Web and its applications mdabrowski Session 1.1 Introduction to the Social Web and its Applications A guest teaching module at the University of Modena/Reggio Emilia, covering topics: - what is social media? - wikis, blogs, microblogs, ... - examples of social networks - interesting social network usage stats - culture of social networking <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/session11-130610160557-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Session 1.1 Introduction to the Social Web and its Applications A guest teaching module at the University of Modena/Reggio Emilia, covering topics: - what is social media? - wikis, blogs, microblogs, ... - examples of social networks - interesting social network usage stats - culture of social networking

Introduction to the Social Web and its applications from mdabrowski

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0 Geo-annotations in Semantic Digital Libraries /slideshow/geoannotations-in-semantic-digital-libraries/187296 geoannotations-in-semantic-digital-libraries-1196438484414358-2
Presentation given at the Geospatial Knowledge Infrastructures Workshop]]>
Presentation given at the Geospatial Knowledge Infrastructures Workshop]]> Fri, 30 Nov 2007 08:01:26 GMT /slideshow/geoannotations-in-semantic-digital-libraries/187296 mdabrowski@slideshare.net(mdabrowski) Geo-annotations in Semantic Digital Libraries mdabrowski Presentation given at the Geospatial Knowledge Infrastructures Workshop <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/geoannotations-in-semantic-digital-libraries-1196438484414358-2-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation given at the Geospatial Knowledge Infrastructures Workshop

Geo-annotations in Semantic Digital Libraries from mdabrowski

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0 MarcOnt Initiative - Protege meeting /mdabrowski/marcont-initiative-protege-meeting marcont-initiative-protege-meeting-2141
Presentation given at Stanford University on May, 18th. ]]>
Presentation given at Stanford University on May, 18th. ]]> Mon, 21 May 2007 17:53:20 GMT /mdabrowski/marcont-initiative-protege-meeting mdabrowski@slideshare.net(mdabrowski) MarcOnt Initiative - Protege meeting mdabrowski Presentation given at Stanford University on May, 18th. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/marcont-initiative-protege-meeting-2141-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation given at Stanford University on May, 18th.

MarcOnt Initiative - Protege meeting from mdabrowski

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0 Philosophy and Atrificial Inteligence /slideshow/philosophy-and-atrificial-inteligence/39663 philosophy-and-atrificial-inteligence-12578
A short glance at the most important philosophical contributions having influence on Artificial Inteligence]]>
A short glance at the most important philosophical contributions having influence on Artificial Inteligence]]> Wed, 18 Apr 2007 06:42:39 GMT /slideshow/philosophy-and-atrificial-inteligence/39663 mdabrowski@slideshare.net(mdabrowski) Philosophy and Atrificial Inteligence mdabrowski A short glance at the most important philosophical contributions having influence on Artificial Inteligence <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/philosophy-and-atrificial-inteligence-12578-thumbnail.jpg?width=120&height=120&fit=bounds" /> A short glance at the most important philosophical contributions having influence on Artificial Inteligence

Philosophy and Atrificial Inteligence from mdabrowski

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0 MarcOnt Initiative /slideshow/marcont-initiative/39646 marcont-initiative-12359
A very short introduction to MarcOnt Initiative. ]]>
A very short introduction to MarcOnt Initiative. ]]> Wed, 18 Apr 2007 05:48:24 GMT /slideshow/marcont-initiative/39646 mdabrowski@slideshare.net(mdabrowski) MarcOnt Initiative mdabrowski A very short introduction to MarcOnt Initiative. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/marcont-initiative-12359-thumbnail.jpg?width=120&height=120&fit=bounds" /> A very short introduction to MarcOnt Initiative.

MarcOnt Initiative from mdabrowski

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0 https://public.slidesharecdn.com/v2/images/profile-picture.png https://cdn.slidesharecdn.com/ss_thumbnails/altocloud-2017-summit-europe-final-171103102523-thumbnail.jpg?width=320&height=320&fit=bounds mdabrowski/spark-summit-europe-2017-applying-multiple-ml-pipelines-to-heterogenous-data-streams Spark Summit Europe 20... https://cdn.slidesharecdn.com/ss_thumbnails/2017-05hug-170519082553-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/2017-05-hadoop-user-group-meetup-dublin/76120104 2017 05 Hadoop User Gr... https://cdn.slidesharecdn.com/ss_thumbnails/thetruemeaningofdata-160717215714-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/the-true-meaning-of-data/64105267 The true meaning of data