ºÝºÝߣshows by User: cb.betz / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: cb.betz / Fri, 30 Aug 2019 09:00:22 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: cb.betz Debugging AI /slideshow/debugging-ai-167698862/167698862 cbetzdebuggingai-190830090022
ºÝºÝߣs to a talk from @Chris_Betz, (https://data42.de) on AI, artificial intelligence, machine learning. What's driving AI hype and what's behind it. Understand general concepts and dig deep into explainability, debugging, verification, testing of machine learning solutions.]]>
ºÝºÝߣs to a talk from @Chris_Betz, (https://data42.de) on AI, artificial intelligence, machine learning. What's driving AI hype and what's behind it. Understand general concepts and dig deep into explainability, debugging, verification, testing of machine learning solutions.]]> Fri, 30 Aug 2019 09:00:22 GMT /slideshow/debugging-ai-167698862/167698862 cb.betz@slideshare.net(cb.betz) Debugging AI cb.betz ºÝºÝߣs to a talk from @Chris_Betz, (https://data42.de) on AI, artificial intelligence, machine learning. What's driving AI hype and what's behind it. Understand general concepts and dig deep into explainability, debugging, verification, testing of machine learning solutions. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cbetzdebuggingai-190830090022-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ºÝºÝߣs to a talk from @Chris_Betz, (https://data42.de) on AI, artificial intelligence, machine learning. What&#39;s driving AI hype and what&#39;s behind it. Understand general concepts and dig deep into explainability, debugging, verification, testing of machine learning solutions.
Debugging AI from Dr. Christian Betz
]]> 206 2 https://cdn.slidesharecdn.com/ss_thumbnails/cbetzdebuggingai-190830090022-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Debugging AI /slideshow/debugging-ai/139569434 cbetzdebuggingai-190404145508
Debugging AI is (almost) nothing like verifying and debugging traditionally engineered software systems, and it’s still in its infancy. In his talk, Dr Christian Betz will present a brief overview of the field of AI, explaining the properties of different approaches to AI, and in which contexts AI systems shine, explaining the current hype. From there, Christian will discuss prominent failures of AI systems and show ways to hack AI systems. He’ll explain why verifying and testing AI is hard, and will guide us through different approaches to tackle this problem.]]>
Debugging AI is (almost) nothing like verifying and debugging traditionally engineered software systems, and it’s still in its infancy. In his talk, Dr Christian Betz will present a brief overview of the field of AI, explaining the properties of different approaches to AI, and in which contexts AI systems shine, explaining the current hype. From there, Christian will discuss prominent failures of AI systems and show ways to hack AI systems. He’ll explain why verifying and testing AI is hard, and will guide us through different approaches to tackle this problem.]]> Thu, 04 Apr 2019 14:55:08 GMT /slideshow/debugging-ai/139569434 cb.betz@slideshare.net(cb.betz) Debugging AI cb.betz Debugging AI is (almost) nothing like verifying and debugging traditionally engineered software systems, and it’s still in its infancy. In his talk, Dr Christian Betz will present a brief overview of the field of AI, explaining the properties of different approaches to AI, and in which contexts AI systems shine, explaining the current hype. From there, Christian will discuss prominent failures of AI systems and show ways to hack AI systems. He’ll explain why verifying and testing AI is hard, and will guide us through different approaches to tackle this problem. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cbetzdebuggingai-190404145508-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Debugging AI is (almost) nothing like verifying and debugging traditionally engineered software systems, and it’s still in its infancy. In his talk, Dr Christian Betz will present a brief overview of the field of AI, explaining the properties of different approaches to AI, and in which contexts AI systems shine, explaining the current hype. From there, Christian will discuss prominent failures of AI systems and show ways to hack AI systems. He’ll explain why verifying and testing AI is hard, and will guide us through different approaches to tackle this problem.
Debugging AI from Dr. Christian Betz
]]> 534 3 https://cdn.slidesharecdn.com/ss_thumbnails/cbetzdebuggingai-190404145508-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Big Data Processing using Apache Spark and Clojure /slideshow/spark-and-clojure-2/43892901 sparkandclojure2-150126034509-conversion-gate01
Talk given at ClojureD conference, Berlin Apache Spark is an engine for efficiently processing large amounts of data. We show how to apply the elegance of Clojure to Spark - fully exploiting the REPL and dynamic typing. There will be live coding using our gorillalabs/sparkling API. In the presentation, we will of course introduce the core concepts of Spark, like resilient distributed data sets (RDD). And you will learn how the Spark concepts resembles those well-known from Clojure, like persistent data structures and functional programming. Finally, we will provide some Do’s and Don’ts for you to kick off your Spark program based upon our experience. About Paulus Esterhazy and Christian Betz Being a LISP hacker for several years, and a Java-guy for some more, Chris turned to Clojure for production code in 2011. He’s been Project Lead, Software Architect, and VP Tech in the meantime, interested in AI and data-visualization. Now, working on the heart of data driven marketing for Performance Media in Hamburg, he turned to Apache Spark for some Big Data jobs. Chris released the API-wrapper ‘chrisbetz/sparkling’ to fully exploit the power of his compute cluster. Paulus Esterhazy Paulus is a philosophy PhD turned software engineer with an interest in functional programming and a penchant for hammock-driven development. He currently works as Senior Web Developer at Red Pineapple Media in Berlin.]]>
Talk given at ClojureD conference, Berlin Apache Spark is an engine for efficiently processing large amounts of data. We show how to apply the elegance of Clojure to Spark - fully exploiting the REPL and dynamic typing. There will be live coding using our gorillalabs/sparkling API. In the presentation, we will of course introduce the core concepts of Spark, like resilient distributed data sets (RDD). And you will learn how the Spark concepts resembles those well-known from Clojure, like persistent data structures and functional programming. Finally, we will provide some Do’s and Don’ts for you to kick off your Spark program based upon our experience. About Paulus Esterhazy and Christian Betz Being a LISP hacker for several years, and a Java-guy for some more, Chris turned to Clojure for production code in 2011. He’s been Project Lead, Software Architect, and VP Tech in the meantime, interested in AI and data-visualization. Now, working on the heart of data driven marketing for Performance Media in Hamburg, he turned to Apache Spark for some Big Data jobs. Chris released the API-wrapper ‘chrisbetz/sparkling’ to fully exploit the power of his compute cluster. Paulus Esterhazy Paulus is a philosophy PhD turned software engineer with an interest in functional programming and a penchant for hammock-driven development. He currently works as Senior Web Developer at Red Pineapple Media in Berlin.]]> Mon, 26 Jan 2015 03:45:09 GMT /slideshow/spark-and-clojure-2/43892901 cb.betz@slideshare.net(cb.betz) Big Data Processing using Apache Spark and Clojure cb.betz Talk given at ClojureD conference, Berlin Apache Spark is an engine for efficiently processing large amounts of data. We show how to apply the elegance of Clojure to Spark - fully exploiting the REPL and dynamic typing. There will be live coding using our gorillalabs/sparkling API. In the presentation, we will of course introduce the core concepts of Spark, like resilient distributed data sets (RDD). And you will learn how the Spark concepts resembles those well-known from Clojure, like persistent data structures and functional programming. Finally, we will provide some Do’s and Don’ts for you to kick off your Spark program based upon our experience. About Paulus Esterhazy and Christian Betz Being a LISP hacker for several years, and a Java-guy for some more, Chris turned to Clojure for production code in 2011. He’s been Project Lead, Software Architect, and VP Tech in the meantime, interested in AI and data-visualization. Now, working on the heart of data driven marketing for Performance Media in Hamburg, he turned to Apache Spark for some Big Data jobs. Chris released the API-wrapper ‘chrisbetz/sparkling’ to fully exploit the power of his compute cluster. Paulus Esterhazy Paulus is a philosophy PhD turned software engineer with an interest in functional programming and a penchant for hammock-driven development. He currently works as Senior Web Developer at Red Pineapple Media in Berlin. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sparkandclojure2-150126034509-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Talk given at ClojureD conference, Berlin Apache Spark is an engine for efficiently processing large amounts of data. We show how to apply the elegance of Clojure to Spark - fully exploiting the REPL and dynamic typing. There will be live coding using our gorillalabs/sparkling API. In the presentation, we will of course introduce the core concepts of Spark, like resilient distributed data sets (RDD). And you will learn how the Spark concepts resembles those well-known from Clojure, like persistent data structures and functional programming. Finally, we will provide some Do’s and Don’ts for you to kick off your Spark program based upon our experience. About Paulus Esterhazy and Christian Betz Being a LISP hacker for several years, and a Java-guy for some more, Chris turned to Clojure for production code in 2011. He’s been Project Lead, Software Architect, and VP Tech in the meantime, interested in AI and data-visualization. Now, working on the heart of data driven marketing for Performance Media in Hamburg, he turned to Apache Spark for some Big Data jobs. Chris released the API-wrapper ‘chrisbetz/sparkling’ to fully exploit the power of his compute cluster. Paulus Esterhazy Paulus is a philosophy PhD turned software engineer with an interest in functional programming and a penchant for hammock-driven development. He currently works as Senior Web Developer at Red Pineapple Media in Berlin.
Big Data Processing using Apache Spark and Clojure from Dr. Christian Betz
]]> 6761 3 https://cdn.slidesharecdn.com/ss_thumbnails/sparkandclojure2-150126034509-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Funktionales Programmieren mit Clojure https://de.slideshare.net/slideshow/clojure-intro-15914081/15914081 clojure-intro-130109023714-phpapp01
Überblick über die Entwicklung mit Clojure bei HEROLABS. * Warum haben wir uns für Clojure entschieden? (Simplicity, Erweiterbarkeit, Java-Interop) * Was heißt Funktionale Programmierung? => Man braucht ein anderes Mindset * Was uns stört. * Und wie entwickelt man mit Clojure (Ecosystem)? Anlass war ein Talk bei mgm-tp.]]>
Überblick über die Entwicklung mit Clojure bei HEROLABS. * Warum haben wir uns für Clojure entschieden? (Simplicity, Erweiterbarkeit, Java-Interop) * Was heißt Funktionale Programmierung? => Man braucht ein anderes Mindset * Was uns stört. * Und wie entwickelt man mit Clojure (Ecosystem)? Anlass war ein Talk bei mgm-tp.]]> Wed, 09 Jan 2013 02:37:14 GMT https://de.slideshare.net/slideshow/clojure-intro-15914081/15914081 cb.betz@slideshare.net(cb.betz) Funktionales Programmieren mit Clojure cb.betz Überblick über die Entwicklung mit Clojure bei HEROLABS. * Warum haben wir uns für Clojure entschieden? (Simplicity, Erweiterbarkeit, Java-Interop) * Was heißt Funktionale Programmierung? => Man braucht ein anderes Mindset * Was uns stört. * Und wie entwickelt man mit Clojure (Ecosystem)? Anlass war ein Talk bei mgm-tp. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/clojure-intro-130109023714-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Überblick über die Entwicklung mit Clojure bei HEROLABS. * Warum haben wir uns für Clojure entschieden? (Simplicity, Erweiterbarkeit, Java-Interop) * Was heißt Funktionale Programmierung? =&gt; Man braucht ein anderes Mindset * Was uns stört. * Und wie entwickelt man mit Clojure (Ecosystem)? Anlass war ein Talk bei mgm-tp.
from Dr. Christian Betz
]]> 930 18 https://cdn.slidesharecdn.com/ss_thumbnails/clojure-intro-130109023714-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Continuous Integration mit Hudson https://de.slideshare.net/slideshow/continuous-integration-mit-hudson-1165425/1165425 praesentationhudsonjughh-090318174553-phpapp01
Präsentation im Rahmen der Java User Group Hamburg (JUGHH.org) zum Thema Hudson und Continuous Integration. Beispiele zum Projekt-Setup.]]>
Präsentation im Rahmen der Java User Group Hamburg (JUGHH.org) zum Thema Hudson und Continuous Integration. Beispiele zum Projekt-Setup.]]> Wed, 18 Mar 2009 17:45:51 GMT https://de.slideshare.net/slideshow/continuous-integration-mit-hudson-1165425/1165425 cb.betz@slideshare.net(cb.betz) Continuous Integration mit Hudson cb.betz Präsentation im Rahmen der Java User Group Hamburg (JUGHH.org) zum Thema Hudson und Continuous Integration. Beispiele zum Projekt-Setup. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/praesentationhudsonjughh-090318174553-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Präsentation im Rahmen der Java User Group Hamburg (JUGHH.org) zum Thema Hudson und Continuous Integration. Beispiele zum Projekt-Setup.
from Dr. Christian Betz
]]> 2066 45 https://cdn.slidesharecdn.com/ss_thumbnails/praesentationhudsonjughh-090318174553-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-cb.betz-48x48.jpg?cb=1725358419 Chris is a software architect and project lead with 15 years of experience. He founded knowIT-Software from his PhD research project and is CEO/CTO. As a Senior Consultant IT at SinnerSchrader Chris provided architectural and technical expertise to Germany's largest financial institutions as well as leading project development teams. At Plath he steered the development of a new product line for massive network analysis end-to-end: He designed the product, managed multi-site development teams, and organized pre-sales to large governmental organizations. At Playmaker Studio, later HEROLABS, he is an Architect Hero (aka Senior Software Architect), and coding in Clojure. As VP Tech at Device ... https://www.xing.com/profile/Christian_Betz https://cdn.slidesharecdn.com/ss_thumbnails/cbetzdebuggingai-190830090022-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/debugging-ai-167698862/167698862 Debugging AI https://cdn.slidesharecdn.com/ss_thumbnails/cbetzdebuggingai-190404145508-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/debugging-ai/139569434 Debugging AI https://cdn.slidesharecdn.com/ss_thumbnails/sparkandclojure2-150126034509-conversion-gate01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/spark-and-clojure-2/43892901 Big Data Processing us...